Director, GH&B AI-Ready Data Foundation & Governance

Posted 2 Days Ago
4 Locations
Remote or Hybrid
163K-272K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
We’re in relentless pursuit of breakthroughs that change patients’ lives.
The Role
Owns Pfizer GH&B’s AI-ready Snowflake data warehouse, data architecture, ontologies, governance, quality, lineage, access controls, and production reliability. The role supports AI/ML models, dashboards, and business-critical data applications; establishes testing, release, monitoring, and incident processes; directs contingent technical resources; and aligns business-specific data decisions with enterprise standards. Requires strong SQL, Python, Collibra, data warehousing, unstructured-data architecture, ontology, governance, and stakeholder-influence experience.
Summary Generated by Built In
Use Your Power for Purpose
The Director, GH&B AI-Ready Data Foundation & Governance owns the data foundation that powers Pfizer's Global Hospital & Biosimilars (GH&B) business. This role is directly accountable for the GH&B AI Ready Data Warehouse (built on Snowflake), establishing the ontologies and relationships that connect GH&B's commercial, manufacturing, supply and pricing data, and enforcing data governance standards across the business, serving as the single accountable owner of GH&B data quality. The role also ensures the ongoing maintenance, reliability and functionality of GH&B's production data applications and platforms, including Athena, NEO, the GH&B Navigator dashboard, and the shortage and flu prediction models. Sitting within GH&B, this role owns the data, architecture and design decisions unique to the business, while partnering closely with Pfizer's GH&B Digital Data Architect and GH&B Digital Product Manager, who supports the broader organization's data needs and keeps GH&B's approach aligned with enterprise direction. This is a hands-on, individual contributor role with no people management responsibilities; the role influences through architectural ownership.
What You Will Achieve
Independently, and directing contingent contractor resources:
  • Own the GH&B AI Ready Data Warehouse (Snowflake), accountable for its data model and readiness to support AI and machine learning use cases across the business, and operate the AI and analytics layer built on it
  • Responsible for establishing and maintaining ontologies and semantic relationships across GH&B data domains (manufacturing, commercial, supply, pricing) so data is consistently defined, connected, and reusable by people and AI agents alike
  • Owns end-to-end data governance for GH&B, ensures alignment to Pfizer enterprise data standards, access controls, quality rules, and stewardship accountability, and implement automated data quality monitoring and alerting so violations are caught before reaching business users
  • Owns production reliability for GH&B's data applications and platforms including Athena, NEO, the GH&B Navigator dashboard, the shortage prediction model, and the flu prediction model defining uptime and freshness expectations, and leading incident response and root-cause analysis when issues arise
  • Monitor the quality of the data feeding production AI/ML models, detect drift as underlying data patterns shift, and partner with the Advanced Data Analytics & AI Solutions team, which owns model performance and the retraining/refresh cadence
  • Establish version control and a testing/release process for changes to the warehouse, ontology, dashboards, and models, so updates don't silently break downstream consumers
  • Administer role-based access to GH&B's data platforms to protect sensitive commercial and hospital-market data, partnering with Legal/Privacy where hospital-adjacent data raises questions
  • Maintain current technical documentation and runbooks for the warehouse, ontology, and production platforms, reducing key-person risk while the role operates as an individual contributor
  • Partner closely with GH&B Digital and enterprise Digital & Technology to align GH&B's data architecture, standards, and platform decisions with enterprise direction, while retaining ownership of GH&B-specific design decisions
  • Direct contingent contractor resources building and maintaining GH&B's AI and analytics models and production applications, flexing capacity with demand
  • Serve as the single accountable owner of GH&B data quality, lineage and trustworthiness across GH&B data products and dashboards used by business decision-makers
  • Partner with GH&B stakeholders to prioritize the data and governance roadmap against business need
  • Evaluate new data and ontology requests, assess feasibility and risk, and route them to the correct build or governance path

Here Is What You Need (Minimum Requirements)
  • Bachelor's degree with at least 8+ years of experience; OR a Master's degree with more than 7+ years of experience; OR a Ph.D. with 5+ years of experience.
  • Experience in data architecture, data management, data engineering, or data governance
  • Pharmaceutical, biosimilars, or hospital-market industry experience
  • Demonstrated experience building and operating enterprise data warehouses or AI-ready data platforms (e.g., Snowflake) supporting business-critical reporting and analytics
  • High proficiency in SQL and Python and regular coding in production contexts; comfortable reviewing and correcting code
  • Experience architecting for unstructured data (documents, text, transcripts, images): extraction, chunking, enrichment and metadata strategies for AI consumption, such as contracts and tender documents
  • Hands-on experience with Collibra for data cataloguing, lineage and data governance workflows
  • Experience establishing data ontologies, taxonomies, or semantic/knowledge-graph models connecting multiple data domains
  • Experience setting and enforcing data governance standards (quality, access, stewardship) in a matrixed organization
  • Experience directing contingent contractor or vendor engineering resources
  • Applied working knowledge of AI and machine learning concepts, including what "AI-ready" data architecture requires
  • Track record of influencing senior stakeholders and operating effectively without direct authority
  • Experience owning the maintenance and production support of business-critical applications, dashboards, or platforms
  • Excellent written and verbal communication skills, with the ability to translate technical data concepts for non-technical business stakeholders

Bonus Points If You Have (Preferred Requirements)
  • Advanced degree (MS/MBA) in a relevant field; recognized data management credential (e.g., DAMA CDMP)
  • Hands-on Snowflake experience, including data modeling, performance tuning, and access/security administration
  • Experience with ontology or knowledge-graph tooling (e.g., RDF/OWL, Protégé, graph databases), enterprise data catalog/governance tools (e.g., Collibra, Alation, Microsoft Purview), and standing up data functions in a newly formed team or business unit
  • Experience with Pfizer's Unified Data Hub (UDH) and Finance United Data Hub (FUDH)

Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Must be able to travel to Pfizer offices, vendor offices and other team meeting locations when required.
Must be available for regular meetings with EU and US based stakeholders.
Other Job Details:
Work Location Assignment: Hybrid
Relocation Assistance: NO
Last Date to Apply: 11/10/2026
The annual base salary for this position ranges from $162,900.00 to $271,500.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% 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 life's 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 | (uscandidates.mypfizerbenefits.com). 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.
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.
Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [email protected] . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers .
Information & Business Tech
#BI-Hybrid

Skills Required

  • Bachelor’s degree with at least 8 years of experience, or master’s degree with more than 7 years, or Ph.D. with 5 or more years
  • Experience in data architecture, data management, data engineering, or data governance
  • Pharmaceutical, biosimilars, or hospital-market industry experience
  • Experience building and operating enterprise data warehouses or AI-ready data platforms such as Snowflake
  • High proficiency in SQL and Python, including regular production coding and code review
  • Experience architecting unstructured data for AI consumption, including extraction, chunking, enrichment, and metadata strategies
  • Hands-on experience with Collibra for data cataloging, lineage, and governance workflows
  • Experience establishing data ontologies, taxonomies, or semantic/knowledge-graph models across multiple domains
  • Experience setting and enforcing data governance standards for quality, access, and stewardship in a matrixed organization
  • Experience directing contingent contractor or vendor engineering resources
  • Working knowledge of AI and machine learning concepts and AI-ready data architecture
  • Experience influencing senior stakeholders without direct authority
  • Experience owning maintenance and production support of business-critical applications, dashboards, or platforms
  • Excellent written and verbal communication skills, including translating technical concepts for nontechnical stakeholders
  • Advanced degree in a relevant field or recognized data management credential such as DAMA CDMP
  • Advanced hands-on Snowflake experience, including data modeling, performance tuning, and access/security administration
  • Experience with ontology or knowledge-graph tooling, enterprise data catalog/governance tools, or establishing data functions in a new team or business unit
  • Experience with Pfizer’s Unified Data Hub or Finance United Data Hub

What the Team is Saying

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The Company
HQ: New York, NY
121,990 Employees
Year Founded: 1848

What We Do

Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.

Why Work With Us

We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.

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