About the role
Operational systems - 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. Analytics, AI & automation - 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. Reporting & Analytics Operations- 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. People leadership -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. Stakeholder & vendor management -Serve as the primary interface between audit/compliance leadership and engineering partners. Manage relationships and contracts with external audit, consulting, and technology vendors. Manage enterprise reporting and KPIs, including dashboards, scorecards, and regulator-ready outputs 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.
