Senior Data Strategy with Life Sciences/Pharma - Foster City, CA (Onsite)

Title: Data Strategy Business Analyst with Data governance and Data pipeline

Employment: Fulltime

Location: Foster City, CA (Onsite)

Tagline / Tech Stack Snapshot

• Data Strategy Business Analyst in Life Sciences, or related field.
• Data governance and Data pipeline experience

Primary Skills (Must Have)

• 8+ years of Business Analyst experience, including 6+ years leading Data Strategy, Data Governance, Data Management, or Data Transformation programs.
• Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps.
• Strong understanding of data models, schemas, data access, and data flows.
• SQL and database querying; familiarity with ETL/data pipeline concepts.
• Experience supporting data strategy or data warehouse initiatives.
• Familiarity with clinical workflows and systems leverage by clinical operations, clinical data management, statistical programmers and regulatory.
• Strong communication and ability to translate data requirements into technical solutions.

Role Summary

We are seeking an experienced Business Analyst to lead and support a strategic Data Strategy initiative for a global Life Sciences organization. The ideal candidate will possess a strong technical project management background, experience managing data-driven programs, and a solid understanding of Life Sciences processes, regulatory requirements, and GxP compliance.

This role will work closely with business stakeholders, data architects, engineering teams, and leadership to drive planning, execution, governance, and successful delivery of the data strategy roadmap.

Why This Role Matters

This position is critical for customer who can able to independently handled all BA Data Strategy experience at Onshore.

What You''''ll Do / Job Description of Role

• Individual contributor partnering with Business Process Owners and Project Managers to define, document, and deliver complex business and system requirements for data strategy and data warehousing initiatives.
• Leads requirements refinement, including current/future state analysis, requirements documentation, prioritization, and stakeholder alignment across clinical data domains.
• Analyze complex clinical datasets (e.g., clinical trial, real world evidence, and Clinical Operations data) to inform requirements and solution design.
• Author user and functional requirements specifications, including data flows, lineage, traceability, and data access patterns.
• Define business requirements for data models, reporting layers, data products, and semantic/analytics structures.
• Owns User Acceptance Testing planning and execution.
• May partner with testing teams to ensure requirements are testable and solutions are compliant and ready for release.

What Success Looks Like (6–12 Months) - Expected Outcome

Within the first 6–12 months, the Business Analyst will have successfully established and driven the Data Strategy program, delivering measurable business and technical outcomes, including:

• Create and maintain User and Functional Requirements documentation supporting data strategy and data warehousing solutions.
• Produce current state and future state artifacts (process flows, data flows, and data lineage views).
• Contribute to data specifications, data models, and source to target mapping artifacts aligned to data pipelines.
• Develop UAT scenarios aligned to validated data transformations, data access controls, and reporting outputs.
• Provide regular status updates, documenting progress, risks, dependencies, and assumptions.

Strategic Program Delivery

• Successfully execute key milestones of the Data Strategy roadmap on schedule and within budget.
• Establish a structured governance model, including steering committees, stakeholder forums, and project reporting mechanisms.
• Align business objectives with data initiatives and ensure stakeholder buy-in across functions.

Data Governance & Compliance

• Implement or strengthen data governance processes, standards, and controls.
• Ensure data-related initiatives comply with GxP requirements and organizational regulatory standards.
• Facilitate risk assessments and remediation plans for data quality, compliance, and operational risks.

Stakeholder Engagement

• Build strong relationships with business leaders, IT teams, data owners, and external partners.
• Establish clear communication channels and executive-level reporting that provide visibility into project health, risks, and achievements.
• Drive consensus and decision-making across cross-functional teams.

Secondary Skills (Good to Have)

• Understanding of GxP validation, healthcare regulations (HIPAA, Google Cloud Platform), and data traceability.
• Understanding data governance policies, roles, and standards.
• Data quality management, validation, and stewardship.
• Python for data analysis and validation.

Regards

Rajesh

Arrowminds Inc