Shape the future of product delivery while crafting solutions that enhance and optimize customer experiences. Lead end-to-end processes, manage dependencies, and liaise with stakeholders as part of a team at the forefront of innovation.
  As a Product Delivery Manager in Chief Data and Analytics Office, you work to enhance and optimize the way products are delivered to customers. As a key member of the team, you create solutions and efficiencies that enable successful implementations in an expedient and organized way. 
  Job responsibilities Leads end-to-end product delivery processes including intake, dependency management, release management, product operationalization, delivery feasibility decision-making, and product performance reporting, while escalating opportunities to improve efficiencies and functional coordination Leads the completion of change management activities across functional partners and ensures adherence to the firm’s risk, controls, compliance, and regulatory requirements Effectively manages timelines and dependencies while monitoring blockers, ensuring adequate resourcing, and liaising with stakeholders and functional partners  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. Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise in product delivery or a relevant domain area Demonstrated ability to execute operational management and change readiness activities Strong understanding of delivery and a proven track record of implementing continuous improvement processes Experience in product or platform-wide release management, in addition to deployment processes and strategies  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. Preferred qualifications, capabilities, and skills Proficient knowledge of the product development life cycle, design, and data analytics 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.