Data Platform Product Manager

AANSEACORE is a global Business Technology Transformation Solutions Company specializing in Professional Staffing. They are seeking an Experienced Data Platform Product Manager responsible for driving the strategic execution and lifecycle management of data-intensive products, collaborating closely with data science, engineering, and analytics teams to deliver high-impact initiatives.

Responsibilities:

• Own the end-to-end lifecycle of data platform products, including datasets, analytics outputs, and data services, from definition to delivery and continuous improvement
• Translate business requirements into clear data and technical specifications, priorities, and acceptance criteria for development teams
• Analyze complex datasets to identify patterns, risks, gaps, and opportunities that inform product and platform decisions
• Contribute to product strategy, planning sessions, and data platform initiatives
• Develop and maintain detailed product documentation, including data flows, dependencies, and assumptions
• Collaborate with internal teams and external stakeholders to ensure alignment and successful delivery
• Support the creation and refinement of the product roadmap based on market trends and data insights
• Provide data-driven recommendations and insights during product lifecycle discussions
• Work closely with engineering and analytics teams to ensure product features meet business objectives and technical standards

Requirements:

• Bachelor's degree in Computer Science, Data Science, Engineering, Business, or a related field (Master's preferred)
• Proven experience in product management, preferably in data platforms or analytics-driven environments
• Strong analytical skills with the ability to interpret complex datasets and derive actionable insights
• Excellent communication skills to articulate technical concepts to both technical and non-technical stakeholders
• Experience working with data-intensive systems, analytics platforms, or technical product environments
• Solid project management skills with the ability to manage and lead initiatives independently
• Strong collaboration skills to work effectively with cross-functional teams (engineering, data science, analytics)
• Strategic thinking with a focus on data-driven product planning and execution
• Strong problem-solving capabilities in complex, data-rich environments
• Experience with product documentation, data flows, and system dependencies is a plus