Lead EM-led, globally distributed engineering organizations owning Spotify’s revenue and forecasting platforms, supporting $16B+ in annual revenue across subscriptions, Ads, and emerging products.

• Own end-to-end engineering outcomes for Order-to-Cash (Revenue) and Forecast-to-Plan platforms, spanning billing, revenue recognition, financial controls, and forecasting

• Lead a global org of ~28 engineers, including 3 Engineering Managers, across the US, Canada, EU, and Middle East

• Drove a full redesign of subscription revenue platforms (~$14B) into a self-serve, platform-based architecture, reducing financial launch timelines from months to weeks (Q4 ’24)

• Led a systemic overhaul of Ads financial processing (~$2B), replacing manual and last-leg automations with a data-driven platform:

• Reduced monthly close by 1.5 days

• Eliminated 600+ hours/month of manual effort

• Achieved 99.06% completeness and accuracy via automated SOX controls

• Shifted teams from bespoke solutions to platform-first architectures, prioritizing long-term ROI over short-term delivery pressure

• Delivered critical financial milestones under flat budgets since 2023, using internal mobility, targeted hiring, n-1 backfills, and selective contracting to manage OPEX

• Built and sustained a strong EM bench with clear accountability, succession depth, and ~2% attrition (org-wide low)

• Led fully remote, multi-timezone teams using async communication, strong written context, and high presence in leadership and team rituals

Built and scaled the foundational engineering org for Spotify’s Ads revenue and billing platforms, supporting the automation of complex financial workflows across Music and Podcasts.

• Hired and scaled the initial Ads revenue engineering squad from zero to 6+ engineers, then incubated and launched a second squad to support expanding scope

• Defined the mission, operating model, and technical direction for Ads financial processing in partnership with Product, Finance, and Accounting

• Led delivery of core datasets and workflows that unified data across ad servers, OMSs, ERP systems, and third-party vendors

• Replaced manual accounting workflows with automated, auditable pipelines, laying the groundwork for later platformization and automated SOX-controls

• Established engineering rituals, quality bars, and stakeholder trust that enabled subsequent expansion to multiple squads and EM-led orgs

Led a follow-the-sun SRE organization responsible for the reliability and performance of Bloomberg’s real-time market data distribution platforms.

• Managed a global org of ~15 engineers, including 3 managers, across NY, London, and Tokyo

• Owned change management, incident response, capacity planning, performance optimization, and annual hardware budgeting

• Supported platforms distributing 7B+ market-data packets/day to Terminal and Enterprise clients

• Led SRE teams focused on capacity analysis and performance tuning across thousands of servers in a global fan-out infrastructure

• Improved latency and resiliency for latency-sensitive financial clients through system and application-level optimization

• Led multiple scrum teams (up to ~24 engineers) building regulated ingestion and access platforms

• Owned pipelines processing terabytes/day of structured and unstructured data under strict compliance guarantees

• Partnered closely with Product and external vendors on new data sources and formats