- Company Name
- EVERSANA
- Job Title
- Technical Product Owner (TPO), Enterprise Quality, Data, Intelligence & Automation - Local NJ candidate required
- Job Description
-
**Job Title**
Technical Product Owner – Enterprise Quality, Data, Intelligence & Automation
**Role Summary**
Own end-to‑end delivery of multiple Enterprise Quality data, AI and automation products within a high‑performance team. Act as the single owner of product vision, backlog, cost, performance, and adoption, ensuring alignment with business strategy and stakeholder needs.
**Expectations**
- Deliver high‑value, data‑driven products that meet enterprise quality goals.
- Maintain clear communication and influence across cross‑functional teams in a matrixed environment.
- Optimize total cost of ownership while continuously improving platform performance and user experience.
**Key Responsibilities**
- Drive product vision, strategy, and roadmap for Enterprise Quality data, AI and automation solutions.
- Gather, prioritize, and translate business requirements into clear user stories with acceptance criteria.
- Manage product backlog using Agile (Scrum, JIRA) and coordinate with data engineers, developers, and stakeholders on feature delivery.
- Monitor platform performance, identify improvement opportunities, and recommend enhancements.
- Conduct QBRs, stakeholder reviews, and feedback cycles to refine product capabilities.
- Lead user training sessions and workshops to accelerate adoption.
- Secure and justify development budgets through compelling value propositions.
- Maintain portfolio information in Nexus, Assess Management, Lean IX, ITSM, and IAM systems.
- Serve as JJT Lead for SOX‑compliant applications within scope.
**Required Skills**
- 2–3 years experience delivering business impact through data, AI, and intelligent automation (Data Science, ML, Generative AI, etc.).
- 5+ years IT/product management experience, preferably in data analytics.
- Proficiency in Agile methodologies (Scrum, JIRA).
- Strong analytical and decision‑making skills with ability to evaluate data for senior leaders.
- Familiarity with laboratory and quality management systems (LIMS, QMS) a plus.
- Excellent written and oral communication; stakeholder engagement and negotiation skills.
- Technical familiarity: Microsoft Azure, Databricks, OpenAI GPT, Neo4j, Alation, PostgreSQL, Python, PySpark, Tableau/Power BI/ThoughtSpot.
**Required Education & Certifications**
- Bachelor’s degree in Information Technology, Management Information Systems, Data Science or related field (minimum).
- Advanced degree preferred.
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New jersey, United states
Hybrid
Senior
12-10-2025