Data Transformation Lead

Basic information

Job Name:

Data Transformation Lead

Location:

New York/340

Line of Business:

Global Technology & Solutions

Job Function:

Investor Services

Date:

Thursday, November 13, 2025

Position Summary

This role is open to candidates in New York, NY, or Washington, DC.

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.

Responsibilities

Strategy Execution and Transformation Leadership

• 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.

Business Engagement and Value Delivery

• 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.

Enterprise Data Governance

• 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.

Data Engineering, Architecture, and AI Enablement

• 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.

Team Leadership and Delivery Management

• 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.

Qualifications

Education & Certificates

• 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.

Professional Experience

• 12+ years of progressive experience in enterprise data, analytics, or transformation leadership within asset management, private equity, or financial services.
• Proven record delivering complex, multi-domain data initiatives, balancing strategic vision with execution discipline.
• Deep familiarity with private markets data (fund, investor, portfolio, and transaction data) and associated reporting needs.
• Experience implementing federated data models, modern data platforms, and governance frameworks.
• Demonstrated success in AI enablement, including preparing data for generative and predictive AI, building semantic layers, and supporting applied machine learning initiatives.
• Familiarity with advanced analytics and predictive modeling life cycles, and understanding how to apply prompt engineering or context engineering so that business users can interact meaningfully with AI/LLM capabilities.

Competencies & Attributes

• Strong executive presence with ability to engage senior business stakeholders.
• Technically fluent in data engineering, architecture, and analytics technologies.
• Exceptional ability to translate business needs into actionable data and AI solutions.
• Deep technical fluency combined with business acumen, able to speak both engineering architecture and investment/operational language.
• Strategic thinker but also hands-on and delivery-oriented; able to bridge vision and execution.
• Collaborative, pragmatic, and outcome-oriented leadership style.
• Adept at operating in complex, matrixed environments.

Benefits/Compensation

The compensation range for this role is specific to New York City & Washington, DC and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.

The anticipated base salary range for this role is $220,000 to $250,000.

In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.

Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle.

Company Information

The Carlyle Group (NASDAQ: CG) is a global investment firm with $474 billion of assets under management and more than half of the AUM managed by women, across 660 investment vehicles as of September 30, 2025. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,400 professionals operating in 27 offices in North America, Europe, the Middle East, Asia and Australia. Carlyle places an emphasis on development, retention and inclusion as supported by our internal processes and seven Employee Resource Groups (ERGs). Carlyle's purpose is to invest wisely and create value on behalf of its investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments - Global Private Equity, Global Credit and Carlyle AlpInvest - and has expertise in various industries, including: aerospace, defense & government services, consumer & retail, energy, financial services, healthcare, industrial, real estate, technology & business services, telecommunications & media and transportation.

At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." We strive to foster an environment where ideas are openly shared and valued. By bringing together teams with varied expertise and approaches, we enjoy a competitive advantage and create a stronger foundation for long-term success.