Data Strategy Business Analyst data governance and data pipeline

Job Title: Data Strategy Business Analyst with data governance and data pipeline experience

Location: Fosters City, CA (Onsite)

Job Type: FTE

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

• 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 Dev Ops.
• 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 leveraged by clinical operations, clinical data management, statistical programmers and regulatory.
• Strong communication and ability to translate data requirements into technical solutions.

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.

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

• 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.

Communication

Skills:

• Communicate effectively with internal and customer stakeholders.
• Communication approach: verbal, emails and instant messages.

Interpersonal

Skills:

• Strong interpersonal skills to build and maintain productive relationships with team members.
• Provide constructive feedback during code reviews and be open to receiving feedback on your own code.

Problem-Solving and Analytical Thinking:

• Capability to troubleshoot and resolve issues efficiently.
  
  Analytical mindset.

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.

• 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.

• 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.

• 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.

• Understanding of GxP…