Director, Data Risk, Compliance and Op Model Lead

ROLE SUMMARY

The Director, Op Model, Risk and Strategy Lead reports directly to the Senior Director, PGS Data Governance Lead within PGS Data, Analytics & AI Transformation. This leadership role holds accountability for the operating model, control framework, and effectiveness measurement that govern data across all of PGS’s data domains. The role is accountable for all data governance policies and procedures, for compliance, security, and risk-based access to governed data, and for the KPIs and effectiveness reporting that demonstrate governance health and value across the organization.

 

The leader owns the maturity and continuous improvement of the data governance operating model end-to-end, ensuring governance processes, standards, and ways of working evolve with business needs and enterprise data priorities. The role defines, maintains, and governs all data governance policies and procedures, and owns compliance, security, and risk-based access to governed data, serving as the escalation point for governance policy exceptions and risk-based access requests. The leader also owns the data governance requirements and accountability framework for responsible AI and RAMP initiatives, ensuring governance, risk, and data trust requirements are embedded in how PGS develops and deploys AI solutions.

 

The role owns the mapping of new domain onboarding priorities and actions, defining the criteria, readiness assessments, and playbooks that guide expansion of governance based on business value, risk, and readiness. The leader also owns governance KPIs and effectiveness reporting across all data domains, designing and operating the metrics, dashboards, and reporting cadence that give stakeholders and leadership transparent, decision-ready insight into the health, maturity, adoption, and value of data governance across PGS.

 

By owning a mature operating model, a robust policy and control framework, and clear measurement of governance effectiveness across every governed domain, this leader enables trusted, compliant, and secure use of data across PGS and positions the organization to scale data governance, analytics, and AI-driven decision-making with confidence.

 

ROLE RESPONSIBILITIES

• Own compliance, security, and risk-based access to governed data, serving as the escalation and decision point for governance policy exceptions and risk-based access requests, and partnering with Digital, information security, Quality, and compliance partners to embed appropriate controls across governed data assets and enabling platforms.
• Own the data governance requirements and accountability framework for responsible AI and RAMP initiatives, ensuring governance, risk, and data trust requirements are embedded in the design, development, and deployment of AI and analytics solutions.
• Define, maintain, and govern all data governance policies and procedures, ensuring they are clear, current, fit for purpose, and consistently adopted across every governed domain.
• Own the maturity and continuous improvement (CI) of the PGS data governance operating model across all governed domains, ensuring governance processes, standards, forums, and ways of working evolve with business needs and enterprise data priorities.
• Own the mapping of new domain onboarding priorities and actions, defining the criteria, readiness assessments, and playbooks that guide expansion of governance into additional PGS datasets.
• Own governance KPIs and effectiveness reporting across all data domains, designing and operating the metrics, dashboards, and reporting cadence that demonstrate governance health, maturity, adoption, and business value to stakeholders and leadership.
• Chair cross-functional governance risk forum, and identify, monitor, and mitigate data governance risks, representing data governance in relevant risk, compliance, and audit forums and ensuring findings and commitments are addressed.
• Partner with the Senior Director and the PGS Data Governance leadership team to help set the strategic roadmap for future data governance initiatives, including investment priorities and sequencing.

 

BASIC QUALIFICATIONS

• Applicant must have a bachelor’s degree in Data Management, Information Systems, Computer Science, Engineering, Business, or a related field with at least 8 years of relevant experience; OR a master’s degree with at least 7 years of experience; OR a PhD with at least 5 years of experience..
• Demonstrated success designing, implementing, or maturing data governance operating models, including policies, procedures, standards, and governance forums, with senior-management accountability.
• Strong understanding of data compliance, security, and access management, including risk-based access controls, data classification, and data protection in regulated (GxP) or similarly complex environments.
• Experience developing strategy and roadmaps for data, governance, or digital capabilities, including prioritization frameworks, readiness assessments, and portfolio sequencing.
• Demonstrated understanding of responsible AI principles and how governance, risk, and data trust requirements apply to the development and deployment of AI and analytics solutions.
• Proven ability to design and operate KPI, metrics, and effectiveness reporting frameworks that drive transparency, accountability, and decision-making at senior levels.
• Proven ability to lead through influence in a large, matrixed organization, aligning senior stakeholders across business, digital, quality, and compliance functions.
• Excellent communication, presentation, facilitation, collaboration, and influencing skills across technical teams, senior leaders, and executive stakeholders.

 

PREFERRED QUALIFICATIONS

• Strong Pfizer colleague network, particularly across PGS, Digital, Quality, Compliance, and/or information security, with a proven track record of forming partnerships to accomplish common goals in highly complex areas.
• Experience in pharmaceutical manufacturing and supply operations, with working knowledge of GxP data integrity expectations and applicable regulatory frameworks.
• Familiarity with data governance and data management platforms and practices (e.g., Collibra), including policy management, metadata, and data quality capabilities.
• Experience supporting responsible AI, AI governance, or model risk management programs in a large enterprise.
• Proven program management capabilities and experience successfully executing initiatives with large, globally distributed teams.

 

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

• Ability to travel domestically and internationally up to 10% of the year.
• Willingness to work off-hours to accommodate global time zones and support globally distributed governance teams and partners.
• Willingness to work extended or non-standard hours during peak periods (e.g., major governance rollouts, platform go-lives, or aggressive program timelines).

OTHER INFORMATION

Last Date to Apply: October 28, 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.

 

 

 

 

 

 

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.

 

 

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