Data​/Analytics Project Manager

Location: Cupertino, CA, USA (Onsite)

We are seeking an experienced Data/Analytics Project Manager to lead enterprise data initiatives, including data engineering, analytics, AI/ML, and database modernization projects. The ideal candidate will have a strong background in managing complex technical projects, collaborating with cross-functional teams, and ensuring successful delivery while maintaining data quality, governance, and compliance.

• Lead end-to-end planning, execution, and delivery of Data & Analytics projects.
• Define project scope, objectives, timelines, milestones, deliverables, and dependencies.
• Develop and manage project roadmaps for data pipelines, AI/ML initiatives, analytics platforms, and database migrations.
• Collaborate with business stakeholders to gather requirements and translate them into technical execution plans.
• Coordinate with Data Engineers, Data Scientists, Analysts, Architects, Developers, and QA teams.
• Monitor project progress, identify risks, resolve roadblocks, and ensure timely delivery.
• Manage project resources, priorities, budgets, and cross-functional collaboration.
• Ensure data governance, data quality, security, privacy, and regulatory compliance.
• Track project KPIs and performance metrics to measure business value and project success.
• Facilitate Agile ceremonies, status meetings, stakeholder communications, and executive reporting.
• Drive continuous improvement in project management processes and delivery methodologies.

• Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field.
• Proven experience managing enterprise Data & Analytics projects.
• Strong understanding of data engineering, ETL/ELT processes, data warehousing, analytics platforms, and AI/ML concepts.
• Experience managing database migration or cloud data transformation projects.
• Knowledge of Agile, Scrum, Waterfall, or hybrid project management methodologies.
• Experience with project management tools such as Jira, Azure Dev Ops, Microsoft Project, or similar.
• Excellent leadership, communication, stakeholder management, and problem-solving skills.
• Ability to manage multiple priorities in a fast-paced environment.

• PMP, PMI-ACP, Certified Scrum Master (CSM), or equivalent certification.
• Experience with AWS, Azure, or Google Cloud Platform.
• Familiarity with data governance, data privacy, GDPR, HIPAA, or similar compliance standards.
• Experience supporting AI/ML, Business Intelligence, or enterprise analytics initiatives.