Data Transformation Lead

Base pay range

$/yr - $/yr

The Principal, Data Transformation Lead is a senior leader within Carlyle's Enterprise Technology & Data organization responsible for executing the firm's data strategy and delivering measurable business value through modern data capabilities. This position reports to the Managing Director, CTO Enterprise Technology & Data

This role bridges business engagement and technical delivery, ensuring Carlyle's data ecosystem across private equity, private credit, private wealth, secondaries, and investor relations, is trusted, AI-ready, and architected for scale.

The Principal will lead the Enterprise Data Governance, Data Engineering & Architecture, and Business Engagement functions, driving execution across federated domains to transform data into a strategic advantage for the firm.

The Principal, Data Transformation Lead will translate vision into reality, driving one of Carlyle's most strategic and visible initiatives, turning data and AI into enduring business advantage.

• Lead the strategic execution of the enterprise data strategy through an actionable, results-driven roadmap.
• Lead the implementation of a federated data-operating model that aligns business unit data ownership, shared infrastructure, and enterprise-wide standards.
• Deliver on key pillars of Carlyle's transformation agenda, including governance, modernization, and AI readiness.
• Drive measurable progress on high-value data and analytics initiatives across the enterprise.
• Partner with the CTO and business sponsors to prioritize data initiatives by strategic impact and time-to-value.

• Serve as Carlyle's primary data transformation liaison to business and investment teams.
• Lead structured engagement with domain leaders across private equity, private credit, private wealth, secondaries, corporate services and investor relations.
• Champion a use case-driven approach: define, measure, and communicate the business value of data and analytics initiatives.
• Develop business cases, success metrics, and adoption frameworks that ensure accountability and transparency.
• Promote close coordination among business sponsors, data engineers, and AI teams to accelerate delivery.
• Shape and operationalize an enterprise-wide data governance framework that enables trusted, compliant, and reusable data.
• Define ownership, stewardship, and accountability models within the federated design.
• Establish data quality, metadata, and lineage standards that ensure data trust and interoperability across domains.
• Oversee compliance alignment (SOX, SEC, FINRA, GDPR, DORA) for enterprise data assets.

• Lead enterprise data architecture modernization, establishing a unified, best-of-breed data platform supporting analytics, automation, and AI.
• Build AI-ready data foundations: semantic layers, contextual metadata, and reusable data contracts for machine learning and generative AI.
• Partner with Data Science to design shared analytical pipelines, experimentation environments, and reusable data products.
• Oversee architecture standards, integration fabric, and data platform performance.
• Advance context engineering and semantic data modeling to make Carlyle's data more accessible for AI and natural language analytics.

• Lead a blended team of employees and consulting partners across data engineering, architecture, and governance.
• Drive high-performance culture emphasizing speed, accountability, and collaboration.
• Define delivery sprints and OKRs, and track execution impact across use cases and data domains.
• Mentor future leaders and shape Carlyle's next generation of data talent.

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
• Industry certifications in data management, cloud architecture, or analytics preferred.

• 12+ years of progressive experience in enterprise data, analytics, or transformation leadership within asset management, private equity, or…