About The Position

The Lead Technical Program Manager in the Consumer and Community Bank Data Technology Risk & Controls team drives complex technology projects and programs that support business goals across the firm. The role applies technical expertise to develop solutions, manage resources and program delivery, and align technology initiatives with business objectives. It contributes to operational planning and risk management while supporting high-quality service delivery. The position supports the Data Management Controls program, including Retention and Destruction and Technical Data Quality initiatives, and Data Risk & Controls automation. It uses enterprise-authorized AI capabilities to assist with program planning, risk synthesis, governance, and reporting, with human review, validation, and appropriate handling of sensitive data.

Requirements

  • At least 5 years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization.
  • Demonstrated experience using enterprise-authorized AI capabilities for program management workflows, with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalate when uncertain, and follow data-handling expectations.
  • Advanced stakeholder management skills, including the ability to build productive relationships and influence decisions across cross-functional teams and clients.
  • Experience in audit, regulatory compliance, and risk management or control functions.
  • Proficiency in analytical reasoning and problem-solving to break business, technical, or operational objectives into manageable tasks and activities.
  • Ability to work effectively in a fast-paced environment, adapt, meet tight deadlines, and organize and prioritize work.
  • Excellent written and verbal communication skills, including communication with varied functional groups and levels.
  • Advanced experience with project management tools such as Jira and Confluence, and MS Office tools such as PowerPoint, Excel, and Teams.

Nice To Haves

  • Solid understanding of Data Quality principles.

Responsibilities

  • Develop and execute comprehensive project plans, including technical requirements, resource allocation, and timelines, to deliver technology solutions on time.
  • Use enterprise-authorized AI capabilities to support program planning and risk synthesis, validating outputs and handling data according to sensitivity requirements.
  • Identify and mitigate risks, address potential roadblocks, and implement contingency plans to maintain program momentum.
  • Collaborate with engineering, product, business stakeholders, and other cross-functional teams to define scope, objectives, and deliverables and ensure alignment with business goals.
  • Support Data Management Controls initiatives, particularly Retention and Destruction and Technical Data Quality, to ensure compliance with Control Procedures and support Data Risk & Controls automation.
  • Build strong partnerships with business stakeholders and technology teams to support data risk controls efforts.
  • Monitor and evaluate control effectiveness, identify gaps, and recommend enhancements to strengthen risk posture and regulatory compliance.
  • Execute reporting and governance for controls, policies, issue management, and measurements, providing senior management with insights into control effectiveness.
  • Use analytical reasoning to identify improvement areas and implement data-driven optimizations.
  • Promote reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment with delivery standards.
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