Product Owner

We are looking for an experienced Product Owner to lead the strategy, roadmap, prioritization, and end-to-end lifecycle of enterprise data products. The role involves collaborating with business, technology, data, and external stakeholders to translate business requirements into scalable product capabilities, improve data quality, and deliver measurable business value.

Key Responsibilities
Define and evolve product vision, strategy, roadmap, and priorities in alignment with business objectives.
Own and manage the product backlog, prioritizing enhancements, business requirements, data onboarding, and technical improvements.
Translate business needs into product requirements, user journeys, user stories, acceptance criteria, and measurable outcomes.
Manage the end-to-end data product lifecycle, including data acquisition, integration, harmonization, quality, and consumption.
Collaborate with engineering, architecture, data platform, and delivery teams to ensure scalable product delivery.
Drive data quality, governance, completeness, timeliness, and usability.
Manage relationships with data providers, technology vendors, and external partners.
Engage business stakeholders to understand requirements, improve product adoption, and deliver business value.
Define and monitor product KPIs related to data quality, adoption, availability, delivery, cost efficiency, and business outcomes.
Identify opportunities for automation, AI, advanced analytics, and product capability improvements.
Lead cross-functional teams and influence senior stakeholders without direct authority.
Mandatory Skills and Experience
12+ years of professional experience across Product Management, Product Ownership, Data, Analytics, Technology, Consulting, or related domains.
Minimum 5 years of experience in Product Management or Product Ownership.
Proven experience in product strategy, roadmap development, backlog prioritization, and lifecycle management.
Experience with market data, syndicated data, sell-out/POS data, consumer insights, or commercial analytics.
Strong understanding of data platforms, data integration, data governance, data quality, and analytics ecosystems.
Experience working with global, multi-market organizations and senior stakeholders.
Experience managing technology vendors, data providers, system integrators, and commercial partners.
Ability to translate business requirements into scalable data and digital products.
Strong leadership, communication, stakeholder management, and decision-making skills.
Bachelor's degree in Computer Science, IT, Engineering, Data Science, Business, Economics, Mathematics, Statistics, or a related field.
Good-to-Have Skills
Experience in Consumer Healthcare, FMCG, Pharmaceuticals, Life Sciences, or other data-intensive industries.
Exposure to market-data providers such as IQVIA, Circana, or similar organizations.
Knowledge of Snowflake, Databricks, AWS, Azure, GCP, APIs, data lakes, lakehouses, and BI platforms.
Experience with AI, automation, and advanced analytics for data products.
Certifications in Product Management, Data Management, Data Governance, Agile/Scrum, Cloud, or Analytics.