Sr. Product Manager

Key Responsibilities:

• Responsible for driving the strategy, development, and scaling of enterprise AI/ML and data-driven products that enable actionable insights and support business decision-making.
• Define product vision and roadmap for advanced analytics and AI platforms by translating complex business problems into scalable, data-driven solutions.
• Partner with engineering and data science teams to design products leveraging machine learning models, generative AI capabilities, and large-scale data systems.
• Oversee the development of intelligent product features such as automated insights, reporting systems, and decision-support tools built on structured and unstructured data sources.
• Ensure solutions are designed for scalability, reliability, and integration within enterprise data ecosystems.
• Manage product lifecycles in a technical environment, including backlog creation, prioritization, and delivery of features involving data pipelines, models, and platform components.
• Balance business impact with technical feasibility and platform extensibility when making product decisions.
• Translate complex technical concepts into clear product requirements and stakeholder communications, enabling alignment across technical and non-technical teams.
• Collaborate with cross-functional teams including Engineering, Data Science, UX, and Analytics to deliver production-ready solutions and continuously improve product capabilities.
• Assess market trends and emerging technologies in AI/ML and analytics to inform product direction and maintain competitive positioning.
• Establish standards for data-driven products and reporting solutions, ensuring consistency, scalability, and long-term usability across teams.
• Support team development by guiding best practices in technical product management and execution.

Minimum Qualifications:

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• Bachelor’s degree in Computer Science, Information Technology, Analytics, Business Administration, or a related field and 3 years of experience in a related occupation. Requires 3 years of experience in the following skills:
• Product management experience in enterprise AI/ML, automations, and data platform environments;
• Translating business requirements into machine learning or advanced analytics solutions;
• Developing, evaluating, and deploying models in production environments with data science teams
• Working with cloud-based data and analytics platforms (e.g., SQL, IBM Cloud, or similar technologies);
• Managing products built on large-scale structured and unstructured datasets;
• Building or scaling data-driven products, analytics platforms, or reporting systems;
• Developing AI-powered insights, dashboards, or decision-support tools;
• Working within modern Agile software development environments for data and AI products;
• Creating and managing complex product backlogs involving data pipelines, models, and platform components;
• Conducting user research and translating findings into product requirements and technical specifications;
• Working with cross-functional teams including Engineering, Data Science, UX, and Analytics; and
• Conducting competitive analysis within AI/ML, data, or analytics product domains.