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. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.