DIVA Lead (Secondment - 12 Months)

Pfizer•Pearl River, NY

7d•Hybrid

About The Position

At Pfizer, our mission is straightforward: empower healthcare decisions regarding the safe and appropriate use of medicines for patients. Your work will bridge evidence-based medical decision support with colleagues and stakeholders to achieve better health and treatment outcomes. Whether you are developing the framework to ensure our evidence is scientifically robust, providing unbiased and medically necessary expertise, or investigating ways to close data gaps, your role is crucial. By connecting evidence-based medical decision support with stakeholders, we aim to enable better health outcomes. Your commitment will help provide scientifically sound evidence and unbiased expertise to support healthcare decisions, ultimately enhancing the oversight of our clinical data through stronger ownership, control, and visibility.

Requirements

BA/BS with at least 8+ years of experience.
Demonstrated relevant experience in pharmaceutical, biotech, CRO, or Regulatory Agency environments.
Thorough understanding of regulatory requirements and relevant data standards.
Strong communication, leadership, decision-making, influencing, negotiation, and project management skills.
Experience using relational databases and data visualization tools.
Strong people management experience.
Knowledge of vendor processes and best practices in outsourcing.

Nice To Haves

MBA/MS with at least 7+ years of experience; OR PhD or JD with at least 5+ years of experience; OR MD/DVM with at least 4+ years of experience.
Pharmaceutical experience, particularly in oncology-related fields.
CDISC knowledge and experience.
Strong analytical and problem-solving skills.
Experience in managing Direct reports.
Strong interpersonal skills and the ability to build relationships with stakeholders.
Ability to adapt to changing priorities and manage multiple projects simultaneously.
Experience in talent and leadership development, succession planning, and preparing for long-term development needs.
Strong data validation and system development lifecycle management skills.
Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem solving and enhance productivity.
Demonstrated curiosity for exploring how these tools can improve outcomes and understanding of responsible AI practices, including risk management and ethical use.
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.

Responsibilities

Lead strategic direction, business performance, and financial management for complex activities within a Division or Global Business Unit.
Manage people, technology, and financial resources, potentially utilizing resources outside of direct authority.
Share knowledge across the Global Business Unit and establish systems for knowledge sharing.
Foster continuous improvement and innovation in daily operations, encouraging acceptable risk-taking.
Develop solutions to complex or unique problems, holding accountability for decisions within the Division or Global Business Unit.
Contribute to strategy development and execution within the Division or Global Business Unit.
Manage talent and leadership development, participate in succession planning, and prepare for long-term development needs.
Hold senior managers accountable for skill development and diversity, and lead resources to deliver on priorities.
Lead teams in setting strategic direction and influencing senior management decisions within the Division or Global Business Unit.
Oversee the design, development, and maintenance of key data management deliverables, ensuring accurate, timely, and consistent clinical data reaches relevant departments.
Lead and manage the implementation and maintenance activities for the Data Integrity Validation Application (DIVA) system across all functional roles.
Gather and conduct UAT for requirements for all functional roles and ensure consistency and GCDMP is maintained.
Manage oversight and coordination of issues reported for the DIVA system to ensure they are properly triaged and sent to the technical team where appropriate.
Ensure defined turnaround times and quality expectations for DIVA development are met.
Serve as enterprise subject matter expert for DIVA system and manage the coordination of the DIVA Champion team.
Develop and maintain DIVA guidance, job aids, and training materials.
Partner with Clinical Data Sciences, Standards, Programming, Clinical, and Study Teams to ensure appropriate functionality is built and maintained with DIVA.
Conduct training activities for all functions for DIVA.