Product Manager AI/ML/Data Governance

5+ years in product management or relevant domain; Bachelor’s in Computer Science, IT, or related field.
Strong understanding of AI/ML, data governance, MLOps, and technology risk/compliance.
Proven business analysis skills and ability to drive operational change.
Familiarity with AI governance standards like NIST AI RMF, GDPR, CCPA.
Excellent critical thinking, problem-solving, presentation, and communication skills.
Ability to collaborate effectively across cross-functional teams.
Advanced knowledge of product development life cycle and data analytics.
Experience with big data technologies, GenAI use cases, and cloud computing platforms.
Proven leadership in product life cycle activities and strategic development.
Strong analytical skills and ability to manage multiple projects in fast-paced environments.
Drive product vision and strategy for AI outcomes; partner with business lines for AI use cases.
Technical expertise in retrieval-augmented generation, Python, SQL, and financial services analytics.
Exceptional communication and relationship-building skills; experience with cloud services and solution engineering.
Proficiency in reporting and analytics tools; experience with program/project management software.
Expertise in AI lifecycle, cloud architecture, and LLM solutions.

Design and implement AI governance frameworks, policies, and procedures for ethical AI use.
Ensure compliance with AI regulations, including GDPR and CCPA.
Identify and mitigate risks associated with AI technologies, such as data privacy and bias.
Collaborate with cross-functional stakeholders to integrate AI governance into the AI/ML lifecycle.
Implement MLOps practices for machine learning model compliance.
Establish monitoring mechanisms for AI governance compliance.
Present updates and recommendations to senior leaders and stakeholders.
Stay informed on industry trends and regulatory changes in AI governance.
Develop product strategy and vision to deliver customer value.
Manage discovery efforts and market research for product roadmap integration.
Own and develop a product backlog supporting strategic roadmap.
Track product success metrics like cost, risk posture, and reliability.
Conduct market research and gather customer feedback for product enhancements.
Define product requirements and prioritize features based on impact and value.
Partner with marketing and client engagement teams for product launches.
Serve as a subject matter expert on AI/ML technologies and trends.

Demonstrated prior experience working in a highly matrixed, complex organization
Experience with public cloud platforms like AWS, GCP, Azure.
Advanced certifications in AI governance or related fields.
Relevant certifications like CISSP, CISA, CRISC.
Experience with agile development methodologies and tools.
Strong business acumen and ability to translate technical capabilities.
Certification in product management or related fields.
Experience in Financial Services or regulated industries.
Hands-on experience with LLM powered Agentic solutions.