Product & Engineering Lead

IQVIA•Kirkland, QC

3d•$103,600 - $148,000

About The Position

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. IQVIA is seeking an experienced Product & Engineering Lead to take end-to-end ownership of FastPace as the first core platform, with scope to expand across additional decision systems over time. This role operates within a small, dedicated team focused on Analytics, Technology, and Innovation Enablement, and sits at the intersection of product management, advanced analytics, and engineering. The position combines clear product ownership responsibilities with a hands-on approach to data, analytical logic, and platform delivery. Priorities are shaped in close alignment with commercial stakeholders and governance structures, while the role is accountable for ensuring that the platform — and future systems — evolves in a coherent, scalable, and reliable way. Working closely with the Governance, Enablement & Operations Lead, who ensures the platform is trusted, adopted, and operationally sound, this role focuses on the analytical logic, technical delivery, and product evolution that underpin the system. A key aspect of the role is maintaining the credibility and trustworthiness of the underlying analytics. This means not only building and refining scoring logic, but being able to challenge, defend, and explain it in commercial and executive contexts. While the role is initially focused on FastPace, it is expected to evolve to cover additional products and decision systems within the broader Analytics, Technology, and Innovation Enablement portfolio.

Requirements

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
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
The role requires the ability to engage directly with the underlying logic, data, and delivery tooling — not solely to manage or oversee delivery.

Nice To Haves

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 rigour 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

Responsibilities

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 — ensuring 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