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Role Summary

The Sr. Manager, Optimizations plays a critical role in managing and optimizing Pfizer's HCP-focused web properties, primarily PfizerPro and other HCP digital assets, to deliver the best possible clinician experience. This role drives data-informed decisions and continuous performance improvement across the HCP surface, working in close partnership with HCP UX and Strategy, the Measurement and Web Analytics teams, and the Consumer Optimization Lead. It requires a strong background in website optimization, experimentation, and data analysis, paired with the strategic judgment to turn findings into roadmap-shaping recommendations.

Role Responsibilities

• Develop and execute a comprehensive optimization strategy for Pfizer's HCP web properties (primarily PfizerPro), focused on clinician engagement, task completion, and overall surface performance.
• Continuously monitor and analyze surface metrics, business outcomes, and user research to identify opportunities for improvement, partnering with the Measurement and Web Analytics teams for the data foundation behind every recommendation.
• Lead A/B and multivariate testing and conversion-rate optimization for the HCP surface, building and running a structured experimentation roadmap rather than one-off tests.
• Own the learning agenda for the HCP web properties, ensuring data-driven insights inform decision-making and feed continuous improvement.
• Partner closely with the Consumer Optimization Lead to self-standardize methodology, tooling, and measurement across the two surfaces, so HCP and Consumer optimization stay consistent and share what works while respecting the different rhythm and stakeholder set of clinician audiences.
• Provide insights and recommendations to HCP Strategy and the HCP product roadmap based on surface performance and clinician behavior, so optimization findings shape upstream product direction, not just downstream tweaks.
• Collaborate with HCP UX to translate experiment insights into design improvements, and to validate design changes against clinician behavior before they scale.
• Use AI-enabled optimization and personalization tools (e.g. Adobe Target) to run, target, and scale experiments, and adopt AI-driven and agentic testing approaches as the practice matures, raising experiment velocity without lowering the evidentiary bar.
• Use AI-enabled design tools (e.g. Claude Design, Figma Make) to rapidly produce test variations and prototypes, so the experimentation pipeline is not bottlenecked on design hand-offs.
• Stay current with industry trends, best practices, and emerging technologies in optimization, experimentation, and clinician experience.
• Maintain strong relationships with internal stakeholders to align optimization efforts with HCP business objectives.

Basic Qualifications

• Bachelor's degree in a related field (e.g. Marketing, Business, Computer Science) required; advanced degree preferred.
• 6+ years in website optimization, experimentation, or related roles, with a proven track record of driving measurable improvements in digital performance.
• Strong command of web analytics tools and A/B testing / optimization platforms (e.g. Adobe Analytics, Adobe Target, Optimizely, VWO).
• Proficient in data analysis and interpretation, with the ability to derive actionable insights and make data-driven decisions.
• Experience working with dynamic websites and content management systems.
• Working knowledge of UX/UI principles and best practices.
• Familiarity with AI-enabled design and prototyping tools (e.g. Claude Design, Figma Make) and an appetite to fold them into the experimentation workflow.
• Strong problem-solving skills and a proactive, self-directed mindset.
• Excellent project management skills, with the ability to prioritize and run multiple initiatives simultaneously.
• A human-centered mindset, obsessed with the end customer and able to bring the voice of the clinician into decisions through an understanding of their journeys.
• Strong writing, presentation, and influencing skills.
• Discretion and trustworthiness in dealing with confidential information.
• Role model for the PFE Values (Courage, Excellence, Equity, Joy).

Preferred Qualifications

• Experience optimizing HCP-facing or other regulated digital experiences, with familiarity with MLR review.
• Experience launching or improving disruptive, customer-centric digital products.
• Hands-on experience using AI to accelerate experimentation, whether in test design, variation generation, or resultssynthesis.
• Exceptional communication skills, with the ability to convey complex findings and recommendations to both technical and non-technical stakeholders.
• Passion for staying at the frontier of optimization, experimentation, and AI-enabled ways of working.
• 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.

Additional Job Information:

Last Date to Apply: July 28, 2026

New York, NY or Any Pfizer US Commercial site

Work Location Assignment:Hybrid

The annual base salary for this position ranges from $124,400.00 to $207,400.00. 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. 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 onPfizer Careers.

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