Technology Product Owner, Commercial Analytics & Data

EVERSANA’s Commercial Technology organization is seeking a Technology Product Owner to lead the Commercial Analytics & Data product portfolio supporting analytics-driven commercial operations and decision-making across Electrophysiology. In this contract role based onsite in Irvine, CA, you will own strategy and delivery for analytics capabilities, from product vision and roadmap through adoption and continuous improvement.

You will partner with Commercial Operations, Sales leadership, Finance, Marketing, Sales Enablement, and technology teams to turn commercial questions and field feedback into governed analytics products. The role includes establishing measurable outcomes and ensuring the experience is built around decisions and user workflows, not standalone reports.

Key Responsibilities

• Own product vision, roadmap, and value realization strategy for the Commercial Analytics portfolio.
• Convert commercial priorities, business questions, user needs, and field feedback into an actionable analytics roadmap and prioritized product backlog.
• Define analytics use cases that improve commercial decision-making in collaboration with Commercial Operations, Sales leadership, Finance, Marketing, and Sales Enablement.
• Set clear product outcomes and KPIs across analytics adoption, decision effectiveness, forecast visibility, field effectiveness, data quality, and user experience.
• Prioritize investments spanning run, enhancement, modernization, and innovation based on business value, technical feasibility, dependencies, and organizational readiness.
• Lead end-to-end delivery from discovery and requirements through data enablement, visualization, release, adoption, and continuous improvement.
• Manage the product backlog, user stories, acceptance criteria, sprint and 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.
• Drive adoption using stakeholder engagement, communications, training, feedback loops, and usage measurement to iteratively improve the product.
• Lead commercial BI and visualization product leadership, including Power BI and Qlik.
• Guide evolution and rationalization of the analytics experience, including enhancing existing dashboards, Power BI adoption, and migration or decommissioning of legacy analytics where applicable.
• Promote reusable analytics patterns, common semantic definitions, consistent user experiences, and scalable dashboard design.
• Improve performance, usability, accessibility, maintainability, and adoption of commercial analytics products.
• Evaluate opportunities for AI-assisted analytics, conversational interfaces, automated insight generation, and improved distribution of analytics.
• 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.
• Apply knowledge of dimensional and relational data modeling to evaluate requirements, identify gaps, challenge assumptions, and guide scalable solution design.
• Ensure consistent representation of business definitions, calculations, hierarchies, relationships, and key metrics across analytics products.
• Coordinate integration of internal and third-party data sources, including ownership of interfaces, refresh cadence, dependencies, and failure handling.
• Align solutions with approved data platforms, architecture patterns, integration standards, and source-of-truth principles in partnership with enterprise data and platform teams.
• Establish ownership and governance for critical commercial data, metrics, and business definitions, including visibility into data lineage, refresh cadence, source-of-truth rules, data gaps, and quality issues.
• Work with business 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, and make data definitions, limitations, dependencies, and quality transparent.
• Understand the decisions analytics must enable across commercial performance, forecasting, field effectiveness, account and opportunity prioritization, physician/customer intelligence, and planning.
• Lead discovery activities such as process mapping, decision mapping, journey mapping, and analytics capability assessments.
• Translate analytical and technical concepts into business language, communicating tradeoffs, risks, dependencies, and roadmap decisions effectively.
• Influence cross-functional alignment without direct authority and build trusted partnerships across business, data, analytics, and technology organizations.
• Identify opportunities to leverage Generative AI, predictive analytics, automation, data science, and conversational analytics to improve commercial decisions and 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 and co-own value realization with the Business Product Owner, aligning a stable cross-functional squad around shared outcomes.
• Foster user-centricity, experimentation, transparency, continuous learning, and outcome-based delivery.
• Lead 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.
• Support an inclusive, high-performing, continuously learning 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 delivering analytics, data, or technology solutions supporting commercial, sales, finance, or customer-facing organizations.
• Experience managing complex product roadmaps and cross-functional delivery.
• Experience 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 with measurable outcomes.

Technologies

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

Preferred

• 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 use cases such as 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 such as SAFe Product Owner/Product Manager, Scrum Product Owner, Pragmatic Institute, or equivalent.
• MBA or advanced degree preferred.

Additional Information

• All information is kept confidential in line with EEO guidelines.
• EVERSANA will not 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 the job posting includes a base salary range, it reflects the low and high end of the range for this position in the U.S.
• Compensation is determined based on relevant experience, other job-related qualifications/skills, and geographic location.
• This role may be eligible for hire in select U.S. locations based on business and operational considerations.
• EVERSANA is an Equal Opportunity Employer and provides reasonable accommodations under the ADA and applicable state and local laws. For accommodations, contact [email protected].