Product & Engineering Lead

Role Overview FastPace is the initial strategic platform within a broader portfolio of decision systems supporting commercial decision‑making and account prioritization. It integrates multiple data sources, scoring methodologies, and visualization layers — including emerging Copilot capabilities — to provide a consistent, explainable view of which opportunities matter most — and why. Key Responsibilities The Product & Engineering Lead is accountable for ensuring that FastPace, and over time additional platforms, operate as reliable, scalable, and trusted decision systems across the full stack: data, model, dashboard, and decision use.

This Includes Owning the product roadmap, backlog, and release cadence, ensuring alignment with business priorities, governance structures, and steering committee direction. Translating stakeholder needs into clear, prioritized product enhancements across data pipelines, scoring logic, visualization layers, and Copilot capabilities. Maintaining and evolving scoring and prioritization methodologies—including rule‑based frameworks and predictive modeling approaches—to ensure consistency, transparency, and robustness.

Ensuring end‑to‑end platform integrity, from data ingestion and validation through transformation logic to dashboard delivery—including monitoring data refresh cycles and resolving pipeline failures. Owning dashboard performance and usability, ensuring that visualizations are clear, decision‑oriented, and optimized for the user experience. Driving continuous improvement in how insights are communicated and applied within commercial workflows, translating technical outputs into decision narratives for leadership and commercial forums.

Supporting the controlled expansion of the platform across additional therapy areas, use cases, and future products. How The Role Operates The function operates through a lean, execution‑focused team, initially centered on FastPace, where product, analytics, and engineering responsibilities are closely integrated. In This Environment, The Role Requires A strong sense of ownership and accountability for outcomes across the full platform — not just individual components.

The ability to operate across functional boundaries, from data pipelines and scoring logic through to dashboard delivery and stakeholder communication. The capacity to diagnose and resolve issues across layers, understanding root causes rather than applying surface‑level fixes. A proactive, solution‑oriented mindset in identifying and addressing opportunities or issues.

The ability to balance structured prioritization with pragmatic delivery. What We Value Most We are looking for individuals who combine analytical depth with product ownership and practical execution. We Particularly Value A strong foundation in quantitative analysis, statistical modeling, or data science— including experience with scoring methodologies, predictive modeling, and rule‑based analytics frameworks — with the ability to build, refine, and defend structured decision frameworks.

Experience translating analytical or AI/ML‑based approaches into clear, scalable products used in real decision‑making contexts, connecting analytical rigor to commercial impact. The ability to ensure outputs are robust, explainable, and trusted, including experience with data validation and quality assurance frameworks, especially in environments where decisions need to be justified and understood. Familiarity with data visualization and BI tooling (e.g., Power BI), including semantic model design, dashboard performance optimization, and user‑centric visual communication.

Commercial acumen: an understanding of business development workflows and account prioritization, with the ability to align platform evolution to revenue impact. Technical & Analytical Expertise This is a hands‑on role requiring strong technical capability across multiple layers of the platform. Candidates Should Have Proven experience working with Python for data processing, analysis, pipeline development, and implementation of analytical or scoring logic.

Strong SQL skills for data exploration, transformation, validation, and troubleshooting across large and complex datasets. Experience applying advanced analytics or data science methods— scoring models, predictive approaches, rule‑based frameworks—in a business or product context. Familiarity with data pipeline and ETL workflows, including multi‑source data integration, refresh dependencies, and failure‑point awareness.

Experience with Power BI or equivalent visualization platforms, including semantic model design and dashboard performance optimization. What Success Looks Like Is consistently adopted as a standard input into account planning and commercial prioritization. Produces outputs that are clear, credible, and actionable, with minimal scoring discrepancies or stakeholder challenges.

Operates with high reliability and data accuracy, maintaining strong uptime and data refresh integrity. Evolves in a structured and stakeholder‑aligned manner, with roadmap milestones delivered on schedule. Delivers a dashboard experience that is performant, intuitive, and valued by its users.

Why Join IQVIA At IQVIA, you will work at the forefront of data, analytics, and technology in life sciences, helping shape how organizations use data to drive better decisions and outcomes. This Role Offers The Opportunity To Own and evolve a high‑impact analytics platform used in real decision‑making. Work within a collaborative, cross‑functional environment spanning analytics, technology, and commercial teams.

Contribute to the development of robust, explainable, and scalable approaches to decision‑making. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, marital status, or any other status protected by applicable law.

The potential base pay range for this role, when annualized, is $103,600.00 – $148,000.00. The actual base pay offered may vary based on a number of factors including job‑related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part‑time). Depending on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and wellness and/or other benefits. #J-18808-Ljbffr