Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Company Description

At EVERSANA, we are proud to be a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 6,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to the market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and walks of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA.

Job Description

We are seeking a Technology Product Owner (TPO) to lead the Commercial Analytics & Data Technology Product Portfolio within the Commercial Technology organization.

The Technology Product Owner is responsible for the strategy, roadmap, delivery, adoption, and continuous improvement of analytics products that enable Commercial Operations, Sales Leadership, Sales Enablement, Finance, Marketing, and the Field Sales Organization across the company.

This role serves as the primary technology partner connecting business questions and decisions to data, analytics, engineering, and user experiences. The successful candidate will help establish end-to-end product ownership from business priority and use case through data sourcing, integration, modeling, visualization, insights, adoption, and measurable business outcomes.

The portfolio includes capabilities spanning Power BI, Qlik, commercial dashboards, forecasting and planning analytics, physician and customer intelligence, third-party data, automated reporting and distribution, AI-assisted analytics, and the underlying data and integration ecosystem. The role requires strong product leadership combined with working knowledge of analytics architecture, data models, source-to-consumption data flows, integrations, data quality, governance, and enterprise data platforms.

Key Responsibilities

Product Strategy & Portfolio Management

Own the product vision, roadmap, and value realization strategy for the Commercial Analytics portfolio.

Translate commercial priorities, business questions, user needs, and field feedback into an actionable analytics roadmap and prioritized product backlog.

Partner with Commercial Operations, Sales Leadership, Finance, Marketing, Sales Enablement, and other stakeholders to define analytics use cases that improve commercial decision-making.

Establish clear product outcomes and KPIs across areas such as analytics adoption, decision effectiveness, forecast visibility, field effectiveness, data quality, and user experience.

Prioritize investments across run, enhancement, modernization, and innovation work based on business value, technical feasibility, dependencies, and organizational readiness.

Commercial Analytics Product Delivery

Lead end-to-end delivery of analytics capabilities from discovery and requirements through data enablement, visualization, release, adoption, and continuous improvement.

Manage the product backlog, feature prioritization, user stories, acceptance criteria, sprint planning, release planning, and product governance.

Partner with Power BI and analytics developers, data engineers, architects, platform teams, analysts, data scientists, and delivery partners to execute the roadmap.

Ensure analytics products are designed around business decisions and user workflows rather than individual reports or isolated technology requests.

Drive adoption through stakeholder engagement, communications, training, feedback loops, usage measurement, and iterative product improvement.

BI Platforms & Analytics Experience

Serve as product leader across commercial BI and visualization capabilities, including Power BI and Qlik.

Guide the evolution and rationalization of the analytics experience, including enhancement of existing dashboards, Power BI adoption, and appropriate migration or decommissioning of legacy analytics where applicable.

Promote reusable analytics patterns, common semantic definitions, consistent user experiences, and scalable dashboard design.

Partner with analytics teams to improve performance, usability, accessibility, maintainability, and adoption of commercial analytics products.

Evaluate opportunities for AI-assisted analytics, conversational interfaces, automated insight generation, and more effective distribution of analytics to users.

Data Models, Integration & Analytics Architecture

Develop a strong understanding of the end-to-end commercial data landscape, including source systems, integrations, transformation logic, data models, semantic models, and consumption layers.

Partner with data engineering and architecture teams to document and continuously improve source-to-consumption data flows and integration dependencies.

Understand dimensional and relational data modeling concepts sufficiently to evaluate analytics requirements, identify gaps, challenge assumptions, and guide scalable solution design.

Ensure business definitions, calculations, hierarchies, relationships, and key metrics are consistently represented across analytics products.

Coordinate integration of internal and third-party data sources into commercial analytics products, with clear ownership of interfaces, refresh cadence, dependencies, and failure handling.

Partner with enterprise data and platform teams to align solutions with approved data platforms, architecture patterns, integration standards, and source-of-truth principles.

Data Quality, Governance & Trust

Establish clear ownership and governance for critical commercial data, metrics, and business definitions.

Drive visibility into data lineage, refresh cadence, source-of-truth rules, data gaps, and quality issues that impact business decisions.

Work with business owners, data owners, and engineering teams to define quality expectations, reconciliation processes, issue triage, and remediation priorities.

Ensure analytics products comply with enterprise security, privacy, governance, and regulatory requirements.

Build user trust by making data definitions, limitations, dependencies, and quality transparent and actionable.

Commercial Decision Support & Business Partnership

Partner with business stakeholders to understand the decisions analytics must enable, including commercial performance, forecasting, field effectiveness, account and opportunity prioritization, physician/customer intelligence, and planning.

Lead discovery, process mapping, decision mapping, journey mapping, and analytics capab