Technology Product Owner, Commercial Analytics & Data

The Technology Product Owner for Commercial Analytics & Data will lead EVERSANA’s Commercial Technology portfolio focused on analytics products that support commercial operations and decision-making across Electrophysiology. This contract role is based onsite in Irvine, CA and owns the strategy, roadmap, delivery, adoption, and continuous improvement of analytics capabilities.

Role Overview

This role serves as the product leader for the Commercial Analytics portfolio, guiding end-to-end outcomes from discovery and requirements through data enablement, visualization, release, adoption, and iterative enhancement. The Technology Product Owner is responsible for aligning analytics solutions to commercial decisions and field-facing workflows, with measurable value realization across adoption, decision effectiveness, forecast visibility, field effectiveness, data quality, and user experience.

Key Responsibilities

• 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.
• Define clear product outcomes and KPIs across analytics adoption, decision effectiveness, forecast visibility, field effectiveness, data quality, and user experience.
• Prioritize investments across run, enhancement, modernization, and innovation based on business value, technical feasibility, dependencies, and organizational readiness.
• 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, including 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.
• Design analytics products around business decisions and user workflows rather than standalone reports or isolated requests.
• Drive adoption through stakeholder engagement, communications, training, feedback loops, usage measurement, and iterative product improvement.
• Serve as product leader across commercial BI and visualization capabilities, including Power BI and Qlik.
• Guide 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.
• Build knowledge 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.
• Apply dimensional and relational data modeling concepts 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, including ownership of interfaces, refresh cadence, dependencies, and failure handling.
• Partner with enterprise data and platform teams to align solutions with approved platforms, architecture patterns, integration standards, and source-of-truth principles.
• Establish 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 impacting business decisions.
• Define quality expectations, reconciliation processes, issue triage, and remediation priorities with business owners, data owners, and engineering teams.
• Ensure analytics products comply with enterprise security, privacy, governance, and regulatory requirements.
• Build user trust through transparent data definitions, limitations, dependencies, and quality information.
• Partner with stakeholders to understand decisions analytics must enable, including commercial performance, forecasting, field effectiveness, account and opportunity prioritization, physician/customer intelligence, and planning.
• Lead discovery activities including process mapping, decision mapping, journey mapping, and analytics capability assessments.
• Translate complex analytical and technical concepts into clear business language, communicating tradeoffs, risks, dependencies, and roadmap decisions effectively.
• Influence cross-functional alignment without direct authority, building trusted partnerships across business, data, analytics, and technology organizations.
• Identify opportunities to apply Generative AI, predictive analytics, automation, data science, and conversational analytics to improve commercial decisions and user productivity.
• Partner with data science, engineering, and platform teams to move valuable analytical concepts from experimentation into governed, scalable products.
• Ensure AI and advanced analytics use cases are grounded in trusted data, clear business outcomes, measurable value, and appropriate governance.
• Evaluate emerging analytics technologies and platform capabilities to inform the long-term Commercial Analytics roadmap.
• Champion the company Product Operating Model.
• Co-own value realization with the Business Product Owner and align a stable cross-functional squad around shared outcomes.
• Support Agile product ceremonies and governance activities, including backlog refinement, prioritization, planning, demos, and retrospectives.
• Promote data-driven prioritization, measurable outcomes, and continuous improvement of team effectiveness.
• Foster user-centricity, experimentation, transparency, continuous learning, and outcome-based delivery within the team environment.

Required Qualifications

• Bachelor’s degree in Business, Information Technology, Computer Science, Engineering, Data/Analytics, or related field.
• 8+ years of experience in Product Management, Technology, Analytics, Data, Commercial Operations, or related disciplines.
• 5+ years of experience delivering analytics, data, or technology solutions supporting commercial, sales, finance, or customer-facing organizations.
• Experience managing complex product roadmaps and cross-functional delivery.
• Experience working in Agile product delivery environments.
• Strong understanding of business intelligence and visualization platforms such as Power BI and/or Qlik.
• Working knowledge of data modeling, semantic models, data warehousing, ETL/ELT, APIs/integrations, and source-to-consumption data flows.
• Ability to understand data lineage, source-of-truth concepts, refresh dependencies, data quality, and integration architecture.
• Strong understanding of the analytics product lifecycle, from business question and data sourcing through insights, adoption, and value realization.
• Exceptional stakeholder management, facilitation, and communication skills.
• Proven ability to translate business strategy and analytical needs into scalable technology products and measurable outcomes.

Technology Exposure

• Power BI
• Qlik
• Generative AI
• Predictive analytics
• ETL/ELT
• APIs/integrations
• SQL
• Databricks
• Microsoft Azure

Preferred Qualifications

• Hands-on or product leadership experience with Power BI, including semantic models, dashboard/report design, and enterprise deployment patterns.
• Qlik experience and/or experience leading BI platform rationalization or migration initiatives.
• Experience with SQL, cloud data platforms, data warehouses/lakes, Databricks, Microsoft Azure, or similar technologies.
• Experience integrating CRM, ERP, sales, territory, forecasting, physician/customer, third-party, or other commercial data sources.
• Experience with commercial analytics, forecasting, field effectiveness, territory planning, physician intelligence, opportunity analytics, or sales performance solutions.
• Experience defining common metrics, business rules, dimensional models, semantic layers, and data quality controls.
• Experience supporting highly regulated industries.
• Experience leveraging AI, Generative AI, automation, predictive analytics, or data science to improve commercial outcomes.
• Product Management certifications (SAFe Product Owner/Product Manager, Scrum Product Owner, Pragmatic Institute, or equivalent).
• MBA or advanced degree preferred.

Additional Information

• All information will be kept confidential according to EEO guidelines.
• EVERSANA would never require personal information nor payment of any kind during the employment process.
• EVERSANA is committed to providing competitive salaries and benefits for all employees.
• If a base salary range is included, it represents the low and high end of the range and is not applicable to locations outside the U.S.
• Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location.
• This role is eligible for hire in select U.S. locations based on business and operational considerations.
• EVERSANA is an Equal Opportunity Employer and provides reasonable accommodation per ADA and applicable state and local laws.
• If reasonable accommodation is needed, contact [email protected].