Senior TPM Manager

MicrosoftRedmond, WA

About The Position

We are hiring a Group Technical Program Manager to lead the reporting, analytics, and operational technology function embedded within the Audit, Risk & Compliance organization. This role drives the tools and data that Internal Audit, Compliance, and Risk teams rely on to measure performance, identify risk, support investigations, and run audit programs at scale. This role will also establish an org-wide AI program to embed AI into tools and processes. The role sets the direction, oversees day-to-day execution, and builds a high-performing team that delivers trusted, production-grade insights to both executive leadership and front-line auditors. The successful candidate will bring a holistic understanding of audit and compliance (financial, operational, IT, and regulatory), paired with deep experience running production systems that auditors, risk officers, and control owners use every day and an ability to role model Microsoft manager values. The role will manage and prioritize AI embedded reporting and analytics strategy, manage a team, manage vendor relationships, and will be the primary translator between audit/compliance stakeholders and engineering. The first AI evolution of organization strategy and execution is critical to the success of the role. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Requirements

  • Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
  • 1+ years people management experience.
  • 2+ years of experience managing cross-functional and/or cross-team projects.
  • Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.
  • 2+ years people management experience.
  • 6+ years of experience managing cross-functional and/or cross-team projects.
  • 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
  • Demonstrated track record owning enterprise reporting and analytics for a regulated or audit/compliance domain, including BI strategy, metrics and KPI design, data modeling, and dashboard governance at executive scale.
  • Demonstrated working knowledge of the full audit discipline (financial, operational, IT, and compliance audit), not just IT general controls or engineering delivery.
  • Comfortable reading a risk and control matrix, scoping a walkthrough, and debating control design with Internal Audit and external auditors.
  • Experience partnering with Big 4 or equivalent external audit and consulting firms.
  • Able to reason independently about data models, SQL and semantic layers, BI tools (Power BI, Tableau, or equivalent), and modern work-tracking systems
  • CPA, CIA, CISA, CRISC, or equivalent audit and risk credential.
  • Experience implementing or operating enterprise GRC platforms (e.g., ServiceNow IRM, Archer, AuditBoard, Workiva) and enterprise BI stacks.
  • Background applying AI, LLMs, or agentic automation to audit, controls, reporting, or compliance use cases.
  • Exposure to SOX, SOC 1/SOC 2, ISO, or comparable regulatory regimes at enterprise scale.

Responsibilities

  • Run the platforms that audit, risk, and compliance teams use to deliver results. This includes AI tooling, BI and dashboarding platforms, data pipelines and warehouses, case management, control testing tools, risk registers, and workflow automation amongst others.
  • Understand the Microsoft stack and the value it drives, optimize, enable efficiencies where possible and influence the evolution of the ARC technology roadmap.
  • Drive AI, agent, and analytics-driven modernization of audit and compliance workflows, such as anomaly detection, continuous controls monitoring, audit-request automation, and assisted walkthroughs.
  • Build advanced analytics capabilities (statistical sampling, outlier detection, predictive risk scoring) on top of a well-governed data foundation.
  • Ensure analytics products meet enterprise standards for data quality, security, privacy, and auditability.
  • Production systems enable enterprise reporting for audit, risk, and compliance. Ensure that the outputs scale and are what leadership needs to deliver desired outcomes.
  • Manage the metrics and KPI framework for audit coverage, issue aging, control effectiveness, remediation velocity, and risk posture. Make sure every number is defensible, traceable, and refreshed on a reliable cadence.
  • Govern the semantic data model and the "single source of truth" underlying all audit and risk reporting, including data lineage, definitions, data quality, and access controls.
  • Drive self-service analytics adoption across the audit, risk, and compliance community through curated datasets, trained reports, and citizen-developer enablement.
  • Lead the portfolio roadmap and quarterly prioritization across SOX, internal audit, Investigations, and enterprise risk management workstreams.
  • Manage, coach, and develop a team of Senior TPMs, TPMs, and Data Scientists. Manage hiring, performance, and career growth.
  • Build an inclusive, high-performing culture with a distributed team and offshore vendor partners.
  • Serve as the primary interface between audit/compliance leadership and engineering partners.
  • Manage relationships and contracts with external audit, consulting, and technology vendors.
  • Lead a team and own delivery of reporting, analytics, and automation across Audit, Risk, and Compliance—driving execution, quality, and team capability
  • Drive core platforms (BI, data pipelines, audit tools), ensuring reliability, data quality, and strong SLAs
  • Define and lead the AI strategy and implementation, driving adoption of AI-enabled tools to improve audit coverage, efficiency, and insight generation
  • Drive analytics and automation, including anomaly detection, continuous controls monitoring, and scalable data solutions
  • Manage enterprise reporting and KPIs, including dashboards, scorecards, and regulator-ready outputs
  • Partner across audit, finance, compliance, and engineering, and manage vendors, to deliver high-quality, scalable solutions

Benefits

  • Certain roles may be eligible for benefits and other compensation.
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