Develop and execute comprehensive project plans, incorporating technical requirements, resource allocation, and timelines to ensure on-time delivery of technology solutions.
Use enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis, including consolidating inputs into integrated plans, RAID, and executive-ready updates, while validating outputs and handling data according to sensitivity requirements.
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.
Promote reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment with delivery standards.
Required qualifications, capabilities, and skills
Formal training or certification with 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 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.
Demonstrated experience coordinating cross-functional engineering, security, risk, and business teams to deliver measurable outcomes.
Demonstrated proficiency in applying analytical reasoning and problem-solving techniques to break down business, technical, or operational objectives into manageable tasks and activities.
Preferred qualifications, capabilities, and skills
Experience supporting or leading complex programs in cybersecurity, technology, SaaS, cloud, or related security engineering disciplines within a large organization. Technical understanding of SaaS platforms, security controls, identity and access management, integrations, and security architecture, with the ability to translate technical concepts into program activities and deliverables.
Experience coordinating technology onboarding, adoption, remediation, or control implementation efforts across multiple applications and teams. Experience with program governance and execution, including project plans, milestones, dependencies, risks and issues, metrics, reporting, and status communication.
Ability to work effectively across engineering, cybersecurity, architecture, product, risk, controls, and business teams to translate complex or ambiguous objectives into clear scope, ownership, milestones, and measurable outcomes.
Strong written and verbal communication skills, with the ability to summarize technical and program information for both technical teams and leadership audiences.
Working knowledge of cybersecurity, technology risk, or control environments and an ability to connect risk and control requirements to technology delivery. Experience using Agile delivery practices and modern program-management tools to manage and communicate work.
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