Sr Product Manager Data Eng - Contractor Role – PIU Based Compensation (No Salary)

Fact Finders Pro is developing a generative AI-powered fact-checking application to combat misinformation and restore trust in the digital age. The Senior Product Manager will manage the product vision, roadmap, lifecycle, and delivery of data science solutions while collaborating with data scientists, engineers, designers, and stakeholders. The role will also drive experimentation, establish product metrics, and ensure data governance, privacy, and security compliance.

Responsibilities:

• Define and manage the product vision, strategy, and roadmap for data science solutions within the product
• Collaborate with data scientists, engineers, and stakeholders to develop actionable product requirements
• Prioritize data science initiatives, manage the product backlog, and ensure alignment with business goals
• Lead the entire product lifecycle, from ideation to development, launch, and iteration
• Utilize machine learning and AI to build customer-centric product solutions
• Establish key metrics and KPIs to measure the impact of data science features
• Ensure timely delivery of scalable, reliable data science products by working closely with engineering teams
• Drive experimentation and A/B testing to validate hypotheses and improve product performance
• Ensure compliance with data governance, privacy, and security standards
• Communicate product insights, progress, and performance to leadership and cross-functional teams
• Stay informed on the latest trends in data science and AI, applying them to improve products
• Balance customer needs, technical feasibility, and business objectives in decision-making
• Experience with agile development, sprint planning, and backlog management
• Strong knowledge of machine learning models, data science tools (e.g., SQL, Python), and statistical techniques

Requirements:

• Bachelor's or Master's degree in a related field
• 3-5 years of experience in product management focused on data science or AI
• Experience with agile development, sprint planning, and backlog management
• Strong knowledge of machine learning models, data science tools (e.g., SQL, Python), and statistical techniques
• Define and manage the product vision, strategy, and roadmap for data science solutions within the product
• Collaborate with data scientists, engineers, and stakeholders to develop actionable product requirements
• Prioritize data science initiatives, manage the product backlog, and ensure alignment with business goals
• Lead the entire product lifecycle, from ideation to development, launch, and iteration
• Utilize machine learning and AI to build customer-centric product solutions
• Establish key metrics and KPIs to measure the impact of data science features
• Ensure timely delivery of scalable, reliable data science products by working closely with engineering teams
• Drive experimentation and A/B testing to validate hypotheses and improve product performance
• Ensure compliance with data governance, privacy, and security standards
• Communicate product insights, progress, and performance to leadership and cross-functional teams
• Stay informed on the latest trends in data science and AI, applying them to improve products
• Balance customer needs, technical feasibility, and business objectives in decision-making