Data Transformation Lead

Overview

• Lead strategic execution of enterprise data strategies, delivering measurable business value through modern data capabilities.
• Bridge business engagement and technical delivery to ensure trusted, scalable, AI-ready data ecosystems.
• Drive execution across federated domains to transform data into strategic advantages.
• Translate vision into reality, spearheading initiatives that leverage data and AI for business impact.
• Collaborate with senior leadership to prioritize data initiatives based on strategic impact and time-to-value.
• Shape enterprise-wide data governance frameworks for trusted, compliant, reusable data.
• Lead modernization of data architecture, supporting analytics, automation, and AI enablement.
• Mentor future leaders and foster a high-performance culture emphasizing accountability and collaboration.

Key Responsibilities & Duties

• Execute enterprise data strategies through actionable roadmaps and federated data-operating models.
• Deliver governance, modernization, and AI readiness initiatives across the organization.
• Engage with domain leaders to define, measure, and communicate the business value of data initiatives.
• Develop business cases, success metrics, and adoption frameworks ensuring accountability and transparency.
• Operationalize data governance frameworks, defining ownership, stewardship, and accountability models.
• Modernize enterprise data architecture, establishing unified platforms for analytics and AI.
• Partner with Data Science teams to design shared analytical pipelines and reusable data products.
• Lead blended teams of employees and consultants, fostering a collaborative, high-performance culture.

Job Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.
• 12+ years of experience in enterprise data, analytics, or transformation leadership within financial services.
• Proven record of delivering complex, multi-domain data initiatives with strategic vision and execution discipline.
• Deep familiarity with private markets data and associated reporting needs.
• Experience with federated data models, modern data platforms, and governance frameworks.
• Demonstrated success in AI enablement, including preparing data for generative and predictive AI.
• Strong executive presence with ability to engage senior business stakeholders effectively.
• Industry certifications in data management, cloud architecture, or analytics preferred.