Lead Technical Program Manager – AI and Data Management Controls
On-site · Wilmington, Delaware, United States
Job Summary
Lead Technical Program Manager – AI and Data Controls drives delivery of complex technology programs focused on data risk management and controls in AI/Data environments. The role blends technical program management with hands-on automation, dashboarding, and a foundational understanding of AI/ML and data lifecycles to optimize risk controls, reporting, and data-driven decision-making. Responsibilities include developing integrated project plans, risk assessment and mitigation, cross-functional collaboration with engineering, product, risk, compliance, and business stakeholders, leveraging automation and analytics to monitor program performance, and designing dashboards (Tableau/Power BI) for risk visualization and automated reporting. The role champions advanced technical solutions, fosters continuous learning and risk-awareness, and contributes to operational plans and risk management strategies as a subject matter expert.
Required Qualifications
- Formal training or certification in program management concepts and 5+ years applied experience
- Hands on experience in basic programming and dashboard creation for automation and analytics
- Demonstrated automation mindset, with the ability to identify and implement opportunities for process improvement and controls enhancement using technology
- Advanced stakeholder management skills, with the ability to build productive relationships and influence decision-making across cross-functional teams and clients
- Experience in data management, data governance, or risk management/analytics
- Experience with data analytics platforms such as Tableau, Alteryx, or Python, and automation tools
- Experience developing dashboards using tools like Tableau, Power BI, or similar
- Experience leading AI/ML and data programs, with a basic understanding of data lifecycles, machine learning concepts, and associated risks and controls
- Experience with automation tools and scripting to streamline workflows and reporting
- Hands-on programming experience in Python, JavaScript, or similar
- Familiarity with cloud platforms, APIs, and integration of data sources for automation and analytics
- Understanding of regulatory requirements and risk frameworks relevant to AI/ML and data programs for banking and fintech
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