Job Description:
We are looking for an experienced Network Security Engineer to join our onsite team in Canada. The ideal candidate will be responsible for designing, implementing, and maintaining secure network infrastructures to protect the organization from cyber threats and unauthorized access.
Key Responsibilities:
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Design, deploy, and manage secure network architectures
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Configure and maintain firewalls, VPNs, IDS/IPS, and network security devices
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Monitor network traffic and respond to security incidents
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Identify vulnerabilities and implement risk mitigation strategies
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Conduct network security assessments and penetration testing
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Ensure secure configuration of routers, switches, and wireless networks
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Collaborate with IT teams to integrate security best practices
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Maintain network security documentation and policies
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Support incident response and disaster recovery efforts
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Stay updated with emerging network security threats and technologies
Required Skills & Qualifications:
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Bachelor’s degree in Computer Science, IT, Cyber Security, or related field
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3+ years of experience in network security or network engineering
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Strong knowledge of TCP/IP, DNS, DHCP, VPN, and network protocols
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Hands-on experience with firewalls (Cisco, Palo Alto, Fortinet, Check Point)
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Experience with IDS/IPS, SIEM, and network monitoring tools
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Knowledge of cloud networking security (AWS, Azure, or GCP)
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Familiarity with Linux and Windows environments
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Strong troubleshooting and analytical skills
Preferred Certifications:
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CCNA / CCNP Security
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CompTIA Security+
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CEH (Certified Ethical Hacker)
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CISSP (Preferred)
Benefits:
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Competitive salary as per Canadian market standards
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Onsite role with long-term career growth
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Health insurance and employee benefits
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Training and certification support
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Collaborative and secure work environment
Job Description: We are looking for an experienced Network Security Engineer to join our onsite team in Canada. The ideal candidate will be responsible for designing, implementing, and maintaining sec...
We are seeking an experienced AI Project Manager to lead the planning, execution, and delivery of AI-driven initiatives. The ideal candidate will bridge the gap between business goals, data science teams, and engineering stakeholders to ensure AI solutions are delivered on time, within scope, and with measurable impact.
Key Responsibilities
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Lead end-to-end AI and machine learning projects from ideation to deployment
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Collaborate with data scientists, engineers, product managers, and business teams
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Define project scope, timelines, budgets, and success metrics
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Translate business requirements into AI project roadmaps
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Manage risks, dependencies, and stakeholder expectations
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Ensure ethical AI practices, data governance, and compliance standards
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Track KPIs and report progress to leadership
Required Skills & Qualifications
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Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
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3–6 years of experience in project management (AI/tech projects preferred)
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Strong understanding of AI/ML concepts and workflows
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Experience with Agile, Scrum, or hybrid project management methodologies
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Excellent communication and stakeholder management skills
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Proficiency in tools like Jira, Confluence, Asana, or similar
Preferred Qualifications
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PMP, Scrum Master, or AI-related certifications
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Experience working with cloud platforms (AWS, Azure, GCP)
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Exposure to AI governance, model lifecycle management, or MLOps
Salary Range (USA – 2026)
$115,000–$145,000 per year (based on experience and location)
Why Join Us?
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Work on cutting-edge AI initiatives
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Collaborate with top AI and data professionals
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Competitive compensation and growth opportunities
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High-impact role shaping AI-driven business outcomes
Job Features
| Job Category | ai manager |
We are seeking an experienced AI Project Manager to lead the planning, execution, and delivery of AI-driven initiatives. The ideal candidate will bridge the gap between business goals, data science te...
The Clinical Data Analyst plays a key role in analyzing clinical and medical data to support research studies, patient safety, and treatment effectiveness. This position works closely with doctors, researchers, and clinical teams to ensure data integrity and meaningful reporting.
Key Responsibilities
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Analyze clinical trial and patient treatment data
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Validate and maintain high data quality standards
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Prepare statistical reports and summaries for clinical teams
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Monitor patient outcomes and safety metrics
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Ensure compliance with clinical and regulatory guidelines
Required Skills & Qualifications
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Bachelor’s or Master’s degree in Life Sciences, Data Science, or related field
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Proficiency in SQL and Python or R
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Strong understanding of statistics and data validation techniques
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Knowledge of clinical research processes and medical terminology
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Familiarity with regulatory standards such as HIPAA and GCP
Experience Level
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1–3 years (Entry to Mid Level)
Job Features
| Job Category | Data Science |
The Clinical Data Analyst plays a key role in analyzing clinical and medical data to support research studies, patient safety, and treatment effectiveness. This position works closely with doctors, re...
Impact - Responsibilities
- Develop and execute audit strategies to ensure compliance with global standards and regulatory requirements.
- Partner directly with engineering leaders, and become familiar with their processes covering multiple domains.
- Act as the primary liaison between external audit requests and engineering. Be able to lead walkthroughs with external assessors as needed.
- Partner with cross-functional teams to execute audit recommendations and strengthen compliance preparedness.
- Document detailed playbooks on processes and domains that can be leveraged for assessments.
- Help drive automation efforts and continuous improvement projects to boost the efficiency of audit processes.
- Deliver consistent reports to leadership on audit outcomes, emerging trends, and potential compliance risks.
Minimum Qualifications
- 3-5 years of experience managing global compliance assessments in a complex environment.
- Prior experience in a compliance and regulatory environment related to security and privacy including security compliance standards across industries and geographies such as ISO 27001, SOC, HIPAA, PCI, HITRUST, and FedRAMP, etc.
- Project management and stakeholder management experience.
- Technical knowledge and understanding of different hyperscaler environments such as AWS.
- Experience with compliance automation tools and processes.
- Strong Analytical and problem solving skills with the ability to assess risks and recommend solutions.
- Detail oriented with strong organizational and documentation skills.
- Ability to solve unique, complex and often ambiguous problems with broad impact on the business
- Conceptual and innovative thinking to develop and implement solutions
- Ability to work independently and collaboratively in a fast paced regulatory environment.
- Identify risk in processes and environments, and strategies to mitigate the risk.
- Certifications (CRISC, CISSP, CCIE, CISM, CISA, CCSK) are a plus
Job Features
| Job Category | Data Science |
About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM+Trust. Leading with our core values, we help companies across every industry blaze new tr...
We are looking for a Healthcare Data Analyst to turn complex healthcare data into meaningful insights that improve patient outcomes and operational efficiency. This role involves working closely with clinical, administrative, and management teams to analyze patient records, hospital performance, and treatment data.
Key Responsibilities
-
Collect, clean, and analyze healthcare datasets from EHR/EMR systems
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Create dashboards and reports to track hospital performance and patient outcomes
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Identify trends in admissions, readmissions, costs, and treatments
-
Support clinical and business decision-making with data insights
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Ensure data accuracy, privacy, and compliance with healthcare regulations
Required Skills & Qualifications
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Bachelor’s degree in Data Science, Computer Science, Statistics, or related field
-
Strong knowledge of SQL and Excel
-
Basic to intermediate Python (Pandas, NumPy)
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Experience with Power BI or Tableau
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Understanding of healthcare data standards (ICD-10, EHR, HIPAA)
Job Features
| Job Category | Data Science |
We are looking for a Healthcare Data Analyst to turn complex healthcare data into meaningful insights that improve patient outcomes and operational efficiency. This role involves working closely with ...
Overview:
A Cyber Data Forensics Analyst specializes in investigating, analyzing, and interpreting data related to cyber incidents. This role bridges the gap between cybersecurity and data science by leveraging advanced analytical methods to uncover evidence, detect anomalies, and reconstruct cyberattacks. The analyst ensures organizations can respond effectively to threats while maintaining legal and ethical integrity.
Key Responsibilities:
-
Collect, process, and analyze digital evidence from compromised systems, networks, and databases.
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Perform log analysis, anomaly detection, and event correlation to identify patterns of attack.
-
Apply machine learning and statistical models to detect hidden or advanced persistent threats (APTs).
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Collaborate with cybersecurity teams, law enforcement, and legal experts during investigations.
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Document findings in forensic reports suitable for technical and non-technical audiences.
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Support proactive threat hunting and incident response initiatives.
Required Skills:
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Strong foundation in digital forensics, cybersecurity, and incident response.
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Proficiency in data analysis tools (e.g., Python, SQL, Splunk, ELK stack).
-
Experience with forensic tools (e.g., EnCase, FTK, Autopsy) and log analysis.
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Knowledge of malware analysis, intrusion detection, and threat intelligence.
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Familiarity with machine learning techniques for anomaly detection.
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Excellent communication and reporting skills.
Job Features
| Job Category | Cyber Security |
Overview:A Cyber Data Forensics Analyst specializes in investigating, analyzing, and interpreting data related to cyber incidents. This role bridges the gap between cybersecurity and data science by l...
- Perform assigned analysis of internal and external threats on information systems and predict future threat behavior
- Incorporate threat actors' tactics, techniques, and procedures into offensive security testing
- Perform assessments of the security, effectiveness, and practicality of multiple technology systems
- Leverage innovative thinking to help solve problems or introduce new ideas to processes or products applicable to offensive security.
- Prepare and present detailed technical information for various media including documents, reports, and notifications
- Provide clear and practical advice regarding managed risks
- Learn and develop advanced technical and leadership skills, Mentor Junior assessors in technical tradecraft and soft skills
- Minimum of 4 years of professional pentesting, application security or ethical hacking experience, preferably in a large, complex, enterprise environment
- Detailed technical knowledge in at least 3 of the following areas: security engineering; application architecture; authentication and security protocols; application session management; applied cryptography; common communication protocols; mobile frameworks; single sign-on technologies; exploit automation platforms; RESTful web services
- SQL injection/XSS attack without the use of tools
- Experience performing manual code reviews for security relevant issues
- Experience working with SAST tools to identify vulnerabilities
- Able to manually identify and reproduce findings, discuss remediation concepts, develop PoCs for vulnerabilities, use scripting/coding techniques, proficiently execute common penetration testing tools, triage, and support incidents, and produce high value findings
- Experience performing manual web application assessments i.e., must be able to simulate a
- Knowledge of network and Web related protocols/technologies (e.g., UNIX/LINUX, TCP/IP, Cookies)
- Experience with vulnerability assessment tools and penetration testing techniques
- Solid programming/debugging skills
- Experience of using a variety of tools, included, but not limited to, IBM AppScan, Burp and SQL Map
- Threat Analysis
- Innovative Thinking
- Technology Systems Assessment
- Technical Documentation
- Advisory
- CISSP, CEH, OSCP, OSWE, GPEN, PenTest+ or similar
- Strong programming/scripting skills
Job Features
| Job Category | Cyber Security |
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company a...
- Please make sure that candidates have been using PowerBI, SQL, and Python on a weekly basis for the past 5+ years.
- Excellent communication is essential. This Statistician will:
- 1. Require a working knowledge of formal statistical analysis and causal modeling.
- 2. Use SQL to manipulate and model data.
- 3. Use Python or R perform statistical and causal modeling; create visualizations;
- 4. Use Tableau to create interactive visualizations
- We need strong Statistical Analysis candidate with hands on Tableau exp.
- We are actively looking for a data scientist. Any data scientist should have experience with ML and building visualizations. (If they don't have ML experience, they are a data analyst; not a data scientist.) The technology they use might vary, so I am looking for ones with experience in python, SQL, and Tableau.
- Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years
- Excellent communication is essential
- Use Tableau to create visualizations
- Use SQL to manipulate and model data
- Use python to manipulate and model data; create visualizations;
- Require a working knowledge of formal statistical analysis and causal modeling
- Require excellent communication skills
Job Features
| Job Category | Data Science |
Title: PowerBI Data Analyst Location: Hybrid Hiring Manager Notes: Please make sure that candidates have been using PowerBI, SQL, and Python on a weekly basis for the past 5+ years. Excellent communic...
Resource Proposal for Cloud Security Engineer – Integration Modernization Initiative Project Name: Integration Modernization Key Technologies Involved: TIBCO, APIGEE, Kafka, and other integration tools (TBD) Initiative Timeframe: Short-term (3-6 months): Focus on TIBCO, APIGEE, Kafka - Long-term (6-12 months): Additional integration tools (TBD)
Scope of Work The Cloud Security Engineer will work closely with the Integration Modernization team to design, implement, and monitor security measures across various integration tools. They will ensure the integrity, confidentiality, and availability of data as it flows between systems. The security engineer will also assist in defining policies and best practices for integrating TIBCO, APIGEE, Kafka, and any future tools. This role will involve both strategic planning and tactical implementation. Key responsibilities include:
- Security Assessment and Risk Management:
- Conduct security risk assessments for integration tools (TIBCO, APIGEE, Kafka, etc.)
- Identify and mitigate potential vulnerabilities in cloud-based architectures.
- Ensure proper encryption and key management protocols are in place.
- Architecture and Design:
- Collaborate with solution architects to design secure integration architectures, ensuring proper authentication, authorization, and data protection across the platforms.
- Work with cross-functional teams to integrate security into DevOps pipelines, CI/CD workflows, and API lifecycle management.
- Tool and Platform Security:
- Ensure security configurations of TIBCO, APIGEE, Kafka, and other integration tools are aligned with industry standards and organizational policies.
- Manage security integrations with Ulta's identity management systems.
- Monitoring and Incident Response:
- Set up continuous monitoring for security events and anomalies across the integration platforms.
- Respond to security incidents and provide remediation guidance in the event of breaches or vulnerabilities.
- Documentation and Knowledge Transfer:
- Maintain up-to-date security documentation for each platform, transferring monitoring and incident response to the Security Operations Center.
- Conduct knowledge transfer sessions for the wider IT and security teams to ensure ongoing security practices are followed.
Resource Justification Given the breadth of tools involved, including TIBCO, APIGEE, and Kafka, a dedicated cloud security engineer is required to ensure that security considerations are fully embedded into every phase of the integration process. Their expertise will not only safeguard the organization's assets but will also promote efficiency by proactively addressing potential security gaps before they evolve into major issues.
Skills and Experience Required The ideal candidate will have a combination of the following skills and experience: Technical Skills:
- Cloud Security Expertise: Experience securing cloud-based architectures, including AWS, Azure, or Google Cloud.
- Integration Platforms: Deep knowledge of integration tools such as TIBCO, APIGEE, and Kafka with a focus on security.
- API Security: Expertise in securing APIs using industry-standard protocols (OAuth 2.0, OpenID Connect, JWT, etc.).
- Network Security: Knowledge of securing microservices, messaging systems, and network communication in hybrid and multi-cloud environments.
- Identity and Access Management (IAM): Experience implementing IAM solutions for integration platforms, including SSO, RBAC, and MFA.
Job Features
| Job Category | AI Engineer, Data Science |
Title: Cloud Architect Location: Hybrid Resource Proposal for Cloud Security Engineer – Integration Modernization Initiative Project Name: Integration Modernization Key Technologies Involved: TI...
- 100% Deliver Execution & Problem Solving - Troubleshoot and quickly resolve escalated incidents Investigate and recommend corrective actions related to incidents Collaborate with Enterprise Technology to configure and integrate cybersecurity systems and services that mitigate risk Design, build, configure, maintain and monitor cybersecurity threat defense capabilities and user access management
- This Position typically reports to Manager or Sr. Manager
- This Position has 0 Direct Reports
- No travel required.
- Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
- No additional qualifications
- The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.
- No additional education
- 0
- No additional years of experience
- None
- None
- None
- Action Oriented
- Collaborates
- Communicates Effectively
- Customer Focus
- Drives Results
Job Features
| Job Category | Cybersecurity Engineer |
Position Purpose: Protecting what matters most to our associates and consumers by securing our sensitive data and critical assets from current and emerging threats. At The Home Depot, Cybersecurity co...
Role Overview
We are looking for a Senior Product Marketing Manager (AI Product) to lead go-to-market strategy, positioning, and growth for cutting-edge AI-driven products. This role requires a strong blend of product marketing expertise, AI understanding, and strategic storytelling to drive adoption and revenue.
You will work closely with Product, AI/ML, Engineering, Sales, and Leadership teams to translate complex AI capabilities into compelling value propositions for customers.
Key Responsibilities
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Own and execute go-to-market (GTM) strategies for AI and data-driven products
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Develop product positioning, messaging, and value propositions
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Translate AI/ML features into clear customer and business benefits
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Lead product launches, pricing strategy, and sales enablement
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Conduct market research, competitive analysis, and customer insights
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Partner with Sales to create pitch decks, case studies, and training
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Drive product adoption, pipeline growth, and revenue impact
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Track performance metrics such as adoption, ARR contribution, and win rates
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Act as the voice of the customer throughout the product lifecycle
Required Qualifications
-
7–10+ years of experience in Product Marketing or B2B SaaS marketing
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3+ years working with AI, ML, data, or analytics-based products
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Proven success launching and scaling AI or technology products
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Strong understanding of product-led growth and enterprise GTM
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Excellent communication and stakeholder management skills
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Experience working in the US market
Preferred Qualifications
-
Experience in AI SaaS, Generative AI, or Machine Learning platforms
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Background collaborating with Product Managers and Data Science teams
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MBA or advanced degree in Marketing, Business, or Technology
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Experience in high-growth startups or top tech companies
Why Join Us?
-
Work on innovative AI products shaping the future of technology
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Competitive US-market compensation and equity opportunities
-
High visibility role with career growth to Director or Head of Product Marketing
-
Collaborative, fast-paced, and innovation-driven environment
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Flexible work options (remote/hybrid)
Job Features
| Job Category | AI Engineer, ai manager, ai marketing, Data Science |
Role Overview We are looking for a Senior Product Marketing Manager (AI Product) to lead go-to-market strategy, positioning, and growth for cutting-edge AI-driven products. This role requires a strong...
Work with business and IT Leaders across the Company to capture and maintain relevant facts about the enterprise and synthesize that information into novel insights for decision-makers.
Recommend and implement new practices to continuously improve the Business Architecture capability.
Responsibilities
- Provide guidance and thought leadership for LeanIX so that users can accomplish Business Architecture and Enterprise Architecture needs
- Define meaningful Key Performance Indicators and metrics for capabilities, processes, and other Business Architecture aspects
- Develop business architecture strategy based on a situational awareness of various business scenarios and motivations
- Capture the relationships among roles, capabilities, business units and subunits both within and external to the organization
- Design and implement Business Architecture governance, policies, and procedures for the organization
- Integrate Business Architecture with other business and IT management organizations and processes
- Provide coaching, mentoring & transparent feedback as required
- May perform other job duties as directed by Employee's Leaders
Knowledge, Skills and Abilities
- Skilled in partnering, negotiating, communication, and consulting across multiple projects and technology areas
- Ability to work effectively in a fast-paced, team-based, Customer-service-oriented environment
- Ability to think strategically and communicate strategic vision
- Ability to visualize data and present concepts and findings in formal settings
- Skilled in Enterprise Architecture Management tools: LeanIX, EAS, and Planview/Troux
- Skilled in Business Process Management tools: ARIS and Signavio
- Skilled in Data Prep & Visualization tools: Tableau, PowerBI, and Alteryx
- Preferred ability to define Dashboards that reflect the KPIs so users can achieve expectations
Job Features
| Job Category | hybrid |
Title: Business Architect Location: Hybrid Work with business and IT Leaders across the Company to capture and maintain relevant facts about the enterprise and synthesize that information into novel i...
- Contribute to the completion of projects, manage own time on agreed targets, develop plans for own projects and leads small project teams.
- Monitor, generate and complete the periodic review, validation master plan for the automation engineering program.
- Demonstrate good planning, organizing, time management and team participation skills.
- Responsible for routine and preventive maintenance work, ensure all the equipment and facilities work safely, efficiently and reliably.
- Generate and develop standard operating procedures and system support.
- Analyze operational process problems and recommend appropriate corrective and preventative actions.
- Manage change control authoring and execution.
- Participate in the site and network wide teams to provide cybersecurity alignment and direction.
- Provide 24x7x365 support of our automation systems and perform automation activities for capital and non-capital projects.
- Modify moderately complex to highly complex control logic that requires a degree of scientific and/or manufacturing process expertise.
- Mentor and guide junior staff and serve as a technical trainer, whenever necessary.
- Clearly communicate progress and issues to peers.
- Applicant must have a bachelor's degree with at least 2 years of experience; OR a master's degree with 0+ years of experience; OR an associate's degree with 6 years of experience; OR a high school diploma (or equivalent) and 8 years of relevant experience.
- Strong knowledge of Computerized Systems, Compliance regulations and standards
- Experience with programming industrial control systems such as DCS, PLCs, SCADA systems, Historians, or SQL Server.
- Demonstrated experience in project management to timelines and budgets
- Experience in troubleshooting issues to root cause and recommending and implementing effective corrective actions.
- Experience with writing software test plans, user requirements, and system design
- documents
- Teamwork spirit, good communication skills and training abilities
- Excellent interpersonal effectiveness and communication skills {written and oral}
- Relevant pharmaceutical experience
- Understanding of programming, and proficiency in at least one language
- Understanding of network infrastructure, windows servers, and virtualization
- Last Date to Apply for Job: April 21, 2025
- Referral Bonus Eligibility: YES
- Eligible for Relocation Package: YES
Job Features
| Job Category | DevOps |
Use Your Power for Purpose Working with Pfizer’s dynamic engineering team, you will play a critical role in the management of manufacturing information systems to improve manufacturing success rates...
TasksTasks
- Executes exciting project opportunities using Data and Analytics / Data Science skills with Fortune 500 companies across different industries including Aerospace, Automotive, Transportation, Consumer Goods, and Industrial Goods
- Owns and drives individual work streams during client engagements
- Analyzes current situation and develops clear understanding and critical perspective of underlying root causes
- Design discrete optimization solutions and independently develops and implements project concepts and final deliverables, including analytics approaches from understanding the challenge to solution implementation (e.g. in the areas of mixed integer optimization and resource-constrained network optimization)
- Supports the management and responsible parties of the project
- Serves as liaison to client management team and project team
- Supports business development by creating and presenting exceptional project proposals with direct support of leadership team
- Provides ongoing project feedback and other development support to Porsche Consulting team members
QualificationsQualifications
- Willingness to travel (traveling domestic and abroad)
- Excellent command of English, where additional language skills are a distinct advantage
- Application of advanced optimization methods (describe problem/constraint set, apply/adjust heuristics and model assessment) to process real world data and planning restrictions in a business/management context
- Bachelors’ degree from renowned institutions of higher education, and demonstrated high academic track record. Major in STEM (Science, Technology, Engineering and Mathematics).
- 7 years of total relevant professional experience; or minimum of 5 years of relevant professional experience in conjunction with a graduate degree
- Progressive experience in project management roles and proven track record delivering projects
- Demonstrable expertise in the areas of analytical methods and technologies (e.g. machine learning, optimization and operations research) and selected frameworks/software (e.g. OpenMDAO, GEKKO or Gurobi)
- 2+ years of experience in data management and analytics platforms/programming (e.g. SQL, R, Python, Tableau)
- Experience with development and implementation of strategic initiatives or transformation programs
- High level of business acumen and consultative expertise
- Comfort in working in environments with a high degree of ambiguity and having the ability to define and independently drive towards clear objectives
- Expertise in qualitative and quantitative research
- Flexibility and willingness to travel up to 80%
- Excellent verbal and written communication skills
- Ability to structure large amounts of data into a clear narrative while driving appropriate focus on key elements and leading towards a defined outcome or recommendation
- Proficient computer skills with MS Office applications
- Strong desire to mentor and assist in the professional development of colleagues
- MBA or graduate degree from renowned institutions of higher education
- Second language fluency in Spanish or French a plus
At a GlanceAt a Glance
Job Features
| Job Category | Data Analyst, Data Science |
Tasks TasksTasks We are looking for dedicated candidates with experience in the area of AI & Data Analytics for our Consulting Team who enjoy developing durable solutions that generate a direct im...
Project Manager – Data Science
Location: Remote (Open to candidates from any country)
Role Overview
The Data Science Project Manager (PM) is responsible for planning, coordinating, and delivering data-driven projects. They act as the bridge between data scientists, engineers, business stakeholders, and leadership to ensure projects are completed on time, within scope, and aligned with business goals. Unlike a purely technical role, the PM focuses on execution, communication, and strategy while having enough understanding of data science concepts to manage effectively.
Key Responsibilities
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Project Planning & Execution
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Define project scope, goals, deliverables, timelines, and resources.
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Develop and manage project roadmaps, sprint planning, and task tracking (Agile/Scrum, Kanban, or hybrid).
-
Ensure alignment of data science projects with organizational strategy.
-
-
Stakeholder Management
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Act as the point of contact between technical teams and business leaders.
-
Translate business needs into technical requirements and vice versa.
-
Manage expectations, communicate risks, and provide regular project updates.
-
-
Team Coordination
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Coordinate activities across data scientists, data engineers, analysts, and software developers.
-
Facilitate collaboration between cross-functional teams.
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Remove blockers and resolve conflicts within the team.
-
-
Quality & Risk Management
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Monitor project risks, dependencies, and constraints.
-
Ensure proper data governance, compliance, and ethical AI considerations.
-
Oversee testing, validation, and delivery of ML models or analytics solutions.
-
-
Performance & Delivery
-
Track KPIs, project milestones, and success metrics.
-
Ensure projects deliver actionable insights or deployable AI/ML solutions.
-
Manage project budgets and resources effectively.
-
Required Skills & Competencies
-
Project Management Skills: Agile, Scrum, Kanban, PMP or PRINCE2 certification (a plus).
-
Data Science Awareness: Understanding of machine learning, analytics, and data engineering workflows (not necessarily coding expertise).
-
Communication & Leadership: Strong stakeholder communication, conflict resolution, and team leadership skills.
-
Analytical Thinking: Ability to translate data-driven results into business impact.
-
Tools: Jira, Trello, Asana, MS Project, Confluence, or similar project management tools.
Job Features
| Job Category | Data Science |
Project Manager – Data Science Location: Remote (Open to candidates from any country) Role Overview The Data Science Project Manager (PM) is responsible for planning, coordinating, and delive...















