Job responsibilities
- Develop and execute comprehensive project plans, incorporating technical requirements, resource allocation, and timelines to ensure on-time delivery of technology solutions
- Own end-to-end CI/CD management for program delivery, partner with engineering to define and maintain pipelines from code commit through build, test, security scanning, deployment, and post-deploy validation; ensure release automation, environment promotion controls, rollback procedures, and deployment metrics are in place.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), 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
- Produce executive-level reporting and narratives (dashboards, program health readouts, decision memos) that translate complex technical and delivery topics into actionable insights; highlighting tradeoffs, risks, dependencies, financials/budget, and clear recommendations to enable timely decision-making by senior leaders.
- 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, establishing effective governance routines (RAID, integrated plans, executive updates) and fostering a culture of 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.
- 10+ 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
- 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 delivering on modern data stacks (e.g., cloud data platforms, lakehouse/warehouse patterns, streaming platforms) and partnering with architecture on scalability, resiliency, and cost-to-serve.
- Experience with governance and controls: data access controls, privacy/PII handling, auditability, SDLC/change management, and operational resilience expectations.
- Familiarity with CI/CD practices for data/platform delivery (policy-as-code, automated testing, vulnerability scanning, artifact management, environment promotion).
- Experience enabling analytics/ML ecosystems (e.g., curated datasets, feature pipelines) and partnering with data science/analytics teams.
- Relevant certifications (PMP, SAFe, Scrum, AWS/Azure) or experience with core stack (Databricks/Snowflake, Kafka, Airflow, AWS/Azure) are a plus.