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Technology Product Owner, Commercial Analytics & Data

EVERSANA Irvine, CA

Irvine, CA

Today

Contract Ai Workflows Analytics Big Data

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Job Description

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 applicantsupport@eversana.com.

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7d ago

Senior Product Manager

Q2ebanking Cary, NC

Cary, NC

7d ago

Full time Manager Senior Azure Data Lake Storage

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Job Description

Own the strategy and delivery of PrecisionLender’s data platform capabilities, from ingestion to downstream analytics and AI enablement.

Responsibilities

Own product strategy, roadmap, and lifecycle for Q2 data platform solutions, spanning ingestion, processing, and downstream consumption.
Develop business cases, investment recommendations, and product strategies based on customer and business needs.
Partner with Engineering to prioritize initiatives, lead platform modernization, and deliver scalable, reliable solutions.
Define requirements for data quality and reliability that support analytics, reporting, and AI capabilities.
Collaborate across Product, Engineering, Sales, Finance, Compliance, and Operations to drive successful outcomes.
Communicate product strategy, roadmap, and business value to customers, executives, and key stakeholders.

Requirements

Demonstrated software product management experience, including strategy and delivery ownership for data, platform, or infrastructure products.
Experience with data pipelines, ingestion, ETL/transformation, storage, and data quality/governance.
Experience with platform modernization and/or cloud data warehouse migrations; Snowflake preferred.
Technical fluency to collaborate effectively with Engineering on data architecture, reliability, and scalability.
Experience ensuring analytics, reporting, or AI products are built on reliable data foundations.
Financial services, commercial banking, or regulated B2B SaaS experience preferred.
Strong leadership, communication, analytical, and cross-functional collaboration skills.
User analytics and AI tools in product workflows is a plus.

Technologies

Snowflake
ADLS
ETL

What You’ll Be Building

PrecisionLender data platform capabilities that power Data Studio, Data Explorer, Data Library, BI platforms, and Andi/Q2 Assistant.
Data foundations for client-facing analytics and AI capabilities, with clean, normalized, and trustworthy data.
Migration from ADLS to Snowflake to reduce technical debt and enable new capabilities while managing the transition of legacy reporting.

Experience and Eligibility

Minimum 8 years of related experience with a Bachelor’s degree; or 6 years with a Master’s degree; or PhD with 3 years experience; or equivalent experience.
Fluent written and oral communication in English.
Applicants must be authorized to work in the U.S.; sponsorship is not available for this role.

Benefits

Hybrid Work Opportunities
Flexible Time Off
Career Development & Mentoring Programs
Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
Community Volunteering & Company Philanthropy Programs
Employee Peer Recognition Programs – “You Earned it”

Health & Wellness Details

Hybrid Work Opportunities
Flexible Time Off
Career Development & Mentoring Programs
Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
Community Volunteering & Company Philanthropy Programs
Employee Peer Recognition Programs – “You Earned it”

Click here to find out more about the benefits we offer.

Our Culture & Commitment

Supportive, inclusive environment with emphasis on career growth, collaboration, and wellness.
Resources for physical, mental, and professional well-being.
Encouragement to give back through volunteer work and nonprofit support through the Spark Program (see more).
Commitment to making an impact in the industry and in the community.

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1mo ago

Product Operations Analyst III

IDR Inc. Denver, CO

Denver, CO

1mo ago Closed

$52 - $53/hr Full time Bigquery Business Analytics Cloud Data Warehouse

This position is no longer accepting applications (closed Sep 28, 2026).

Job Description

The Product Operations Analyst III role at IDR, Inc. focuses on clinical data analytics and healthcare product workflows in Denver, Colorado. The position emphasizes reporting, data modeling, and process automation, including SQL pipeline development and clinical data validation to support reliable self-serve insights.

Role Responsibilities

Lead the design, implementation, and validation of reporting and data pipelines for clinical metrics and workflows.
Partner with Clinical Product Managers and operational teams to define metric standards and analyze clinical processes.
Develop and optimize SQL pipelines and data models to expand and improve self-serve analytics capabilities.
Automate reporting workflows to strengthen efficiency and maintain reporting accuracy.
Perform quality reviews, conduct root-cause analysis, and validate clinical data anomalies.

Key Requirements

4-7 years of experience in clinical data analytics, healthcare BI, or product analytics.
Strong SQL skills, including extensive experience with cloud data platforms such as Google BigQuery.
Solid understanding of clinical workflows, EHR data structures, and clinical quality metrics.
Proficiency in Python or ETL scripting.
Experience working within enterprise healthcare organizations and familiarity with healthcare BI products.

Technologies

SQL
Google BigQuery
Python
ETL scripting
EHR

Compensation and Location

Location: Denver, CO (onsite)
Pay: USD 52-53 per hourly (W2)
Minimum experience: 4 years

Benefits

Competitive compensation package
Full Benefits, including Medical, Vision, Dental, and more
Medical, Dental, Vision, and Life Insurance
Employee Stock Ownership Program
Pay transparency: $52-53/hr W2
Opportunity to get in with an industry-leading organization

What to Expect from IDR

25+ years of proven industry experience in 4 major markets
Employee Stock Ownership Program
Dedicated Engagement Manager committed to your success
ClearlyRated's Best of Staffing Client and Talent Award winner 12 years in a row
#LI-Remote

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