Senior Manager, Analytics Platform & AI Strategy

Our client, a growing and very reputable biopharma company, is seeking a Senior Manager to own and advance their Enterprise Analytics & AI Platform. This leader will be responsible for setting strategy, shaping architecture, and delivering next-generation business intelligence and AI-driven analytics capabilities across a complex, matrixed organization.

This role lives at the crossroads of data infrastructure, business intelligence, and applied AI. You'll lead the evolution away from legacy dashboard culture toward AI-powered, semantic, and self-service analytics experiences that scale across the enterprise. The ideal candidate brings deep technical fluency, platform-level thinking and the leadership chops to drive lasting change — all in service of a broader, modern data vision.

What You'll Own

• Govern and continuously improve an enterprise BI ecosystem spanning multiple platforms; rationalize tool usage, establish standards, and reduce fragmentation
• Define scalable patterns for dashboard development, performance tuning, governance, and access control
• Champion migration toward a unified, metadata-driven analytics experience
• Build and execute a roadmap for AI-enabled analytics — including natural language querying, embedded AI insights, copilots, and automated anomaly detection
• Evaluate and integrate emerging technologies such as LLM-based analytics and semantic querying capabilities
• Ensure seamless integration across a lean BI layer, business transformation logic, a semantic layer, and a metadata/governance layer
• Serve as the primary connector between business stakeholders and the analytics platform
• Accelerate adoption of modern analytics capabilities across functions and business units
• Translate business requirements into scalable, reusable platform solutions
• Champion data literacy and meaningful use of analytics tools across the organization
• Partner with enterprise data governance teams to align on standards and policy

What You Bring

• BS degree required; Computer Science, Bioinformatics, or a related technical field preferred
• 5+ years of experience in BI, analytics engineering, or data platform roles
• 3+ years of operational or people management experience
• Demonstrated experience with AI/BI or augmented analytics
• Deep hands-on expertise with at least two enterprise BI platforms (e.g., Tableau, Power BI, Qlik, Spotfire)
• Strong working knowledge of modern cloud data platforms (e.g., Databricks, Snowflake), SQL, and data modeling
• Experience with transformation frameworks (e.g., dbt or equivalent)
• Familiarity with metadata management and data governance concepts (e.g., data lineage, catalog tooling)
• Experience in a regulated industry — pharma, biotech, or life sciences — a strong plus

Compensation

• Annual Salary Range: $150,000 – $165,000.
• Annual Cash Bonus: 15% target (performance-based)
• Long-Term Incentives: Generous LTI plan

*The salary offered will be commensurate with experience, skills, qualifications, and other relevant factors.

About the Search

This search is being managed by Summit Strategic Search on behalf of our client. This is a full-time, permanent position where the successful candidate will be hired directly by the end client.

Equal Opportunity Commitment

Summit Strategic Search and our client are equal opportunity partners. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Accommodations & Support

We are committed to providing reasonable accommodations for qualified individuals with disabilities during the application and interview process. If you require assistance, please contact us at

admin@summitstrategicsearch.com

Selection & Onboarding

As this is a direct-hire role within a regulated industry, the end client's standard hiring protocols apply. This includes, but is not limited to, a comprehensive background check and drug screening prior to the start of employment. All hiring decisions are made solely by the end client.