Shape enterprise-wide data strategies and drive impactful transformation initiatives. Lead AI readiness and governance frameworks for measurable business value. Mentor high-performing teams in a dynamic, collaborative environment.
Data Transformation Lead
in Information Technology PermanentJob Detail
Job Description
Overview
- Lead enterprise-wide data transformation initiatives, driving strategic impact and measurable business value through advanced data capabilities and governance frameworks.
- Collaborate with senior leadership to align data strategies with organizational goals, ensuring scalable and AI-ready data ecosystems.
- Shape and implement modern data architectures to support analytics, automation, and AI enablement across federated domains.
- Bridge technical delivery and business engagement, translating vision into actionable roadmaps and initiatives.
- Mentor and develop high-performing teams, fostering a culture of accountability and collaboration.
- Champion data governance frameworks to ensure trusted, compliant, and reusable data assets.
- Drive adoption of innovative data solutions, leveraging AI to enhance decision-making and operational efficiency.
- Engage cross-functional teams to prioritize initiatives based on strategic impact and time-to-value.
Key Responsibilities & Duties
- Develop and execute enterprise data strategies, ensuring alignment with organizational objectives and measurable outcomes.
- Operationalize data governance frameworks, defining ownership, stewardship, and accountability models across domains.
- Modernize data architectures to establish unified platforms for analytics, automation, and AI enablement.
- Collaborate with domain leaders to define, measure, and communicate the business value of data initiatives.
- Lead blended teams of employees and consultants, fostering a collaborative and high-performance culture.
- Partner with Data Science teams to design shared analytical pipelines and reusable data products.
- Develop business cases, success metrics, and adoption frameworks ensuring accountability and transparency.
- Drive AI readiness initiatives, preparing data for generative and predictive AI applications.
Job Requirements
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
- 10+ years of experience in enterprise data, analytics, or transformation leadership roles.
- Proven track record of delivering complex, multi-domain data initiatives with strategic vision and execution discipline.
- Expertise in 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 are preferred.
- Deep familiarity with financial services data and associated reporting needs.
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