Head of Data & BI Platform Engineering

The Head of Data & BI Platform Engineering owns Pfizers enterprise data and business intelligence platform layer. This encompasses the platforms on which Pfizers structured and semi-structured data is stored processed transformed and visualized including the organizations core data warehousing and lake platforms (such as Snowflake and Databricks) data integration and transformation tools (such as Alteryx and Mulesoft) and enterprise BI and visualization platforms (such as Tableau Power BI and Spotfire).

Pfizers AI & Data Center of Excellence (CoE) exists to accelerate the Enterprise AI Strategy enabling every function every builder and every decision-maker to work faster and with greater precision. At the foundation of that strategy is data: well-structured governed and readily accessible data that AI systems analytics teams and business leaders can depend on.

The data platforms this leader manages are a critical upstream dependency for the majority of AI workloads across Pfizer making the reliability performance and governance of these platforms a direct enabler of the organizations AI this role you will lead a team of engineers and platform specialists across and will be accountable for delivering these platforms as enterprise services with published SLAs governed access and measurable value to the federated AI and analytics teams that depend on them.

This role has direct ownership accountability for the following platform categories:

Data Warehousing and Lakehouse Platforms

• Enterprise data warehouse and lakehouse platforms (e.g. Snowflake Databricks Amazon Redshift) including infrastructure administration performance tuning cost governance and access management.
• Unified storage and compute environments for structured semi-structured and large-scale analytical data workloads across all divisions.

Data Integration and Transformation

• Data pipeline and integration tooling (e.g. Alteryx dbt FiveTran Databricks or equivalent) including pipeline development standards orchestration and operational monitoring.
• ETL/ELT framework governance enabling self-service data preparation for analysts while maintaining data quality and lineage standards.
• Knowledge graph ontology and semantic model tooling (e.g. Neo4J SciBite Stardog Neptune etc.)

Business Intelligence and Visualization Platforms

• Enterprise BI and visualization platforms (e.g. Tableau Power BI Spotfire) including platform administration licensing governance performance and user access.
• Semantic layer and report governance standards in partnership with the AI Ready Data team to ensure consistent and trusted metric definitions across the enterprise.

Data Catalog and Observability

• Data catalog tooling and metadata management enabling data discoverability and lineage tracking across the platform estate.
• Platform observability and data reliability engineering including SLA monitoring data quality alerting and incident response.

Platform Leadership and Strategy

• Define and own the Data & BI platform strategy and multi-year roadmap ensuring platform investments are aligned to the needs of federated AI and analytics teams across Pfizer.
• Lead develop and grow a team of engineers and platform specialists across Platform Operations Platform Development and Data Reliability pods.
• Establish and maintain product-minded ownership of the platform portfolio with roadmap priorities driven by user needs validated through regular engagement with platform consumers.
• Own the vendor relationships and licensing strategy for the data and BI platform portfolio including contract management performance governance and technology evaluation.
• Partner with the Head of AI Ready Data to ensure platform infrastructure and data governance standards are tightly integrated the platform must serve AI-ready data not just available data.

Platform Engineering and Operations

• Oversee the design build and operation of enterprise data pipelines warehouse/lakehouse environments and BI infrastructure at scale.
• Define and publish platform SLAs covering availability data freshness query performance and pipeline reliability and hold the team accountable to them.
• Establish data reliability engineering practices including error budgets on-call processes incident response and blameless post-mortems in coordination with the CoE Platform Reliability / SRE function.
• Drive platform cost transparency and FinOps practices ensuring compute and storage costs are visible attributed and continuously optimized.
• Ensure all platforms meet Pfizers enterprise security privacy and regulatory compliance requirements in partnership with the CISO organization and Trusted AI team.

Stakeholder Engagement and Adoption

• Serve as the primary platform interface for federated AI and analytics teams across Pfizer proactively embedding platform support and enabling self-service access.
• Partner with Enterprise Architecture and existing Pfizer Digital & Technology data teams to ensure the CoE platform extends and modernizes existing data infrastructure investments rather than duplicating them.
• Contribute to the AI & Data Guild network enabling cross-functional awareness of platform capabilities best practices and available data assets.
• Report regularly to the Chief AI and Data Officer on platform health SLA performance adoption metrics and investment priorities.

PREFERRED QUALIFICATIONS

• Experience in the biopharmaceutical life sciences or healthcare sector with familiarity with GxP data requirements HIPAA and FDA data integrity expectations.
• Experience supporting AI and machine learning workflows as a data platform consumer understanding of feature engineering pipelines training data requirements and model data dependencies.
• Familiarity with semantic layer tools (e.g. dbt metrics layer Looker LookML AtScale) and governed metric management.
• Experience operating within or alongside a Center of Excellence or shared services model in a large matrixed organization.
• Working knowledge of FinOps practices for cloud data platform cost governance.
• Experience with modern data stack architectures including data mesh data lakehouse and medallion architecture patterns.

Other Job Details:

• Last Day to Apply: 7/28/2026

• Work Location Assignment:Hybrid

The annual base salary for this position ranges from $274000.00 to $456600.00.* In addition this position is eligible for participation in Pfizers Global Performance Plan with a bonus target of 30.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of lifes moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution paid vacation holiday and personal days paid caregiver/parental and medical leave and health benefits to include medical prescription drug dental and vision coverage. Learn more at Pfizer Candidate Site U.S. Benefits (). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa FL or any location outside of the United States. * The annual base salary for this position in Tampa FL ranges from $246600.00 to $411000.00. This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply your Talent Advisor will share the local pay information with you during the first interview.

Relocation assistance may be available based on business needs and/or eligibility.

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN O-1 H-1B etc.) is not available for this role now or in the future.

To learn more about acceptable and prohibited uses of AI during the recruitment process please review our candidate AI-use guidelines available onPfizer Careers.

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