Technical Program Manager – Cybersecurity / Data Programs

Trianz•Boston, MA

3d•Remote

About The Position

This is a senior program leadership role supporting a global cyber insurance/reinsurance strategy. The TPM will translate strategic initiatives into executable roadmaps, coordinate delivery across Cyber Risk Engineering, Data Science, Claims, Underwriting, and Technology teams, and provide strong governance across multiple interconnected workstreams. The ideal candidate will have strong experience managing large, multi-workstream technology or data programs, working with external partners, managing risks and dependencies, tracking program financials, and communicating effectively with senior leadership. The Technical Program Manager will support initiatives involving: Cyber risk-assessment tools and platforms, Global underwriting digitization and process consistency, Cyber-risk and hazard benchmarking, Cyber claims and loss-data analytics, External-facing cyber insights and data-visualization portals, and Data, analytics, and AI-enabled program delivery.

Requirements

14+ years of overall professional experience.
8+ years of experience delivering technology and/or data programs.
Strong experience leading large, complex, multi-workstream programs involving multiple external partners.
Strong technical understanding of: Data platforms, Data pipelines, Risk-assessment tools, Integration architecture.
Strong experience with: Program governance, Risk management, Dependency management, RAID management, Executive status reporting, Financial tracking and reporting.
Experience tracking program budget, burn vs. plan, forecasts, and actuals.
Ability to translate business objectives and requirements into executable program plans.
Strong stakeholder-management, negotiation, facilitation, and communication skills.
Experience working with global and cross-functional teams.
Ability to independently manage ambiguity and operate with limited guidance.
Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related discipline, or equivalent professional experience.

Nice To Haves

Experience within insurance, reinsurance, cyber insurance, or specialty insurance lines.
Experience working with underwriting, claims, risk, or insurance data functions.
Experience with cybersecurity programs or cyber-risk technologies.
Experience with claims-data platforms, incident-response processes, or risk-assessment tooling.
Understanding of data governance, data privacy, security, and responsible-AI practices within regulated environments.
Experience delivering data analytics or AI-related initiatives.
PMP, SAFe, or equivalent program/project management certification.

Responsibilities

Own end-to-end program delivery across multiple cybersecurity, technology, and data initiatives.
Build and maintain integrated program roadmaps, milestones, release plans, and dependencies.
Coordinate delivery across Cyber Risk Engineering, Data Science, Claims, Technology, and Underwriting teams.
Serve as the primary point of contact for program status, delivery decisions, risks, and escalations.
Coordinate releases, cutovers, and transition of completed initiatives into business operations.
Manage multiple workstreams and external delivery partners simultaneously.
Establish and manage program governance including: Steering Committee meetings, RAID logs, Decision logs, Stage gates, Program status reporting.
Identify, track, and resolve cross-team dependencies.
Proactively identify program risks and escalate issues before they impact schedule, budget, or delivery.
Ensure accountability and clear ownership across global and matrixed teams.
Work effectively with technical teams supporting: Data platforms, Data pipelines, Cyber-risk assessment tools, Analytics platforms, Integration architecture, AI-enabled solutions.
Apply data-driven metrics and analytics to identify delivery risks and measure program health.
Work closely with Data Science and Cyber Risk Engineering teams to understand technical trade-offs and delivery impacts.
Ensure appropriate data security, privacy, governance, and responsible-AI practices.
Track program budgets, forecasts, burn rates, and actual expenditures.
Provide burn vs. plan and forecast-versus-actual reporting.
Establish measurable program KPIs and delivery metrics.
Connect program reporting to business outcomes rather than activity alone.
Develop strong relationships across globally distributed business and technology teams.
Present program status, risks, dependencies, and trade-offs to senior leadership.
Facilitate decisions across teams with competing priorities.
Influence teams without necessarily having direct reporting authority.
Partner with Finance, Procurement, Security, Claims, Underwriting, Data Science, and Technology stakeholders.