We are looking for a passionate and experienced GenAI Product Manager to lead the end-to-end delivery of generative AI-powered data engineering solutions. In this role, you will work closely with cross-functional teams—including engineering, AI, business, and client stakeholders—to identify, design, and implement intelligent solutions that drive innovation in data quality, pipeline optimization, and automation.
Key Responsibilities:Drive ideation, development, and implementation of GenAI use cases within the data engineering domain.
Identify and prioritize high-impact opportunities to improve data processes using AI technologies.
Lead discovery workshops and collaborate with clients, business teams, and account stakeholders to refine use case requirements.
Define product strategy, success metrics, and a roadmap for GenAI agents and automation tools.
Work closely with engineering and AI teams to build scalable, compliant, and ethical AI solutions.
Manage the agile product lifecycle from MVP to production deployment.
Serve as the primary liaison between technical teams, clients, and business owners.
Continuously gather feedback, track performance, and iterate on released products to drive improvement.
Required Skills and Qualifications:Proficiency in Python and SQL for developing and validating GenAI use cases.
Strong knowledge of AI/ML technologies and cloud-based data platforms.
Experience with design/prototyping tools such as Figma and Miro.
Expertise in data visualization tools like Power BI.
Strong background in product discovery and research methodologies.
Familiarity with various product management frameworks and agile development practices.
Excellent communication, stakeholder management, and cross-functional team leadership skills.
Preferred Qualifications:Prior experience leading GenAI or AI/ML projects in a data engineering context.
Understanding of responsible AI practices, compliance, and scalability concerns in enterprise environments.
Ability to translate complex technical concepts into clear business value for stakeholders.