Change Management Lead

Pfizer • New York City, NY

8d • Hybrid

About The Position

At Pfizer we make medicines and vaccines that change patients' lives with a global reach of over 780 million patients.  Pfizer Digital is the organization charged with winning the digital race in the pharmaceutical industry.  We apply our expertise in technology, data, innovation and our business to support Pfizer in this mission. Pfizer’s commitment to creating breakthroughs that change patients’ lives is deeply embedded in our culture as a science-driven and patient-focused company. Central to this commitment is our use of digital technologies, AI, data, and analytics, which drive innovation across our organization. The Pfizer Digital and Technology R&D CC and AI COE team creates comprehensive AI and data solutions that address some of the most critical business needs of Pfizer’s research and development teams and enterprise AI.  Through use of these AI and data solutions this team accelerates Pfizer’s strategies. The Senior Manager – Change Management Lead will lead organizational readiness and adoption strategies for AI-driven initiatives. This role ensures smooth integration of AI solutions into business processes, fostering a culture of innovation while minimizing disruption. The position requires a strategic thinker with strong change management expertise and a deep understanding of AI technologies.

Requirements

• Bachelor's degree and 6 + years in organizational change management, product adoption, or transformation roles, with 3+ years supporting AI/analytics, digital products, or complex enterprise platforms or Master's degree and 5+ years of experience or PHD and 1+ years of experience.
• Demonstrated success leading enterprise scale change across multiple functions and geographies in a regulated environment.
• Strong grasp of AI program realities (LLMs, copilots/agents, model lifecycle, data governance, human in the loop , monitoring) sufficient to translate into practical enablement and controls.
• Expertise in communications and learning design: message mapping, role based enablement, training pathways, and measurement.
• Excellent stakeholder management, facilitation, and executive communication skills; able to influence without authority.
• Proficiency with collaboration and adoption measurement tools (e.g., M365, Teams, SharePoint, analytics dashboards).
• This position requires permanent work authorization in the United States.

Nice To Haves

• Industry certifications: Prosci /CCMP (ACMP), PMI ACP/PMP, CIPP/E or CIPM, or Responsible AI credentials.
• Experience with AI governance frameworks (model documentation, approval gates, change control, monitoring/observability).
• Background in life sciences, healthcare, or other highly regulated sectors.
• Familiarity with enterprise AI platforms (e.g., M365 Copilot, Azure OpenAI/LLM platforms, ML Ops tooling) and product operating models.
• 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

• Change Strategy Development Define the change strategy for priority AI programs, linking business outcomes to adoption goals, personas, and phased rollouts (pilot → scale), with clear entry/exit criteria and readiness checkpoints. Stand up and run the change plan (communications, training, enablement, observation/feedback, reinforcement) using agile, experiment driven methods; adapt based on adoption signals and user feedback. Establish success metrics (awareness, activation, usage depth, proficiency , business impact) and publish regular scorecards; drive corrective actions with product, engineering, and operations leads.
• Stakeholder Engagement & Sponsorship Build a sponsor coalition across Business Units, Digital/IT, Risk/Compliance, Legal/Privacy, and HR ; facilitate decisions and remove blockers through the governance cadence. Segment stakeholders (executives, managers, end users, product owners, support) and tailor narratives, demos, and proof points; cultivate a distributed network of change champions . Create listening mechanisms (office hours, surveys, UAT forums) and maintain a transparent issue/decision log with ownership and SLAs.
• Communications & Training Craft the AI change narrative Design learning pathways with hands on labs, job aids, and micro learning; track completions and demonstrated proficiency . Operationalize enablement channels (e.g., enterprise AI hub/knowledge base, Teams/SharePoint, COPs) to ensure findability of guides, FAQs, and SOP updates.
• Readiness & Impact Assessment Run impact assessments across people/process/technology/data; identify role changes, SOP updates, and control implications for each release. Develop mitigation plans (reskilling, process re engineering , support model, change controls) with owners, timelines, and measurable outcomes. Validate go live readiness via UAT/pilots with agreed acceptance criteria, rollback plans, and hypercare staffing.
• Governance, Risk & Compliance Embed AI lifecycle controls : roles/responsibilities, approval gates, change control, documentation, and post deployment monitoring in alignment with internal AI risk management policies. Champion Responsible AI (fairness, transparency, explainability, safety) and privacy by design practices ; partner with Data Governance, Security, and Privacy to uphold regulatory requirements. Manage third party considerations with Procurement and Vendor Management (due diligence, data processing terms, quality agreements, audit readiness).
• Adoption & Sustainability Stand up a durable adoption engine : champion networks, train the trainer , super user programs, and community of practice; transition knowledge to BAU owners. Integrate support models (service desk, knowledge articles, AI usage guidelines) and track incident/deflection metrics to improve user experience. Continuously improve via telemetry (usage, sentiment, support signals) and periodic retros; feed insights into product roadmaps.

Benefits

• In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees