Identify and mitigate risks, proactively addressing potential roadblocks and implementing contingency plans to maintain project and program momentum
Collaborate with cross-functional teams, including engineering, product, and business stakeholders, to define program scope, objectives, and deliverables, ensuring alignment with overall business goals
Utilize advanced analytical reasoning to assess program performance, identify areas for improvement, and implement data-driven optimizations to enhance efficiency and effectiveness
Champion agile delivery practices and continuous improvement, fostering a culture of continuous learning and innovation within the team
Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards.
Required qualifications, capabilities, and skills
5+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization
Strong background in Software Engineering with high level technology experience
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support 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, escalating when uncertain and following data handling expectations.
Advanced expertise in stakeholder management, with the ability to establish productive working relationships and influence decision-making across cross-functional teams and clients
Proven track record of effectively managing resources, budgets, and high-performing teams in a fast-paced, agile environment
Demonstrated proficiency in applying analytical reasoning and problem-solving techniques to break down business, technical, or operational objectives into manageable tasks and activities
Experience with portfolio planning, quarterly prioritization, capacity management, and roadmap development.
Familiarity with Jira, Jira Align, Confluence, Git-based development platforms, continuous integration and delivery tools, test management platforms, Power BI, Tableau, or similar engineering, reporting, and planning tools.
PMP, SAFe, Scrum Master, PgMP, or similar certification.
Must be comfortable operating on the tech side with some of the largest and most critical programs.
Preferred qualifications, capabilities, and skills
Experience leading enterprise application development, software engineering delivery, application modernization, cybersecurity, cryptography, cloud, platform, or infrastructure transformation initiatives.
Working knowledge of modern software engineering and delivery practices, including architecture and design reviews, development workflows, release management, continuous integration and delivery, and production readiness.
Experience translating application security, data protection, encryption, or cryptographic modernization requirements into actionable engineering plans and delivery outcomes.
Experience defining or governing testing strategies across unit, integration, performance, security, regression, and user acceptance testing, including quality gates, defect resolution, and release readiness.
Financial services or highly regulated industry experience.
