Description

Key Responsibilities:

· Define Enterprise Data Strategy & Architecture

o Establish and evangelize the enterprise data vision, principles, and target architecture aligned to business strategy

o Design the transition from legacy point-to-point integrations to domain-aligned data products

· Drive Data Product Operating Model

o Partner with Data Governance Office to define standards for data products, including ownership, lifecycle, quality, and consumption models

o Establish clear systems of record and authoritative data sources across domains

· Develop and Execute Transformation Roadmap

o Build a prioritized, multi-year roadmap to modernize data platforms and integrations

o Sequence migration of consumers from legacy data assets to modern data products ·

Lead Enterprise Data Modernization

o Drive adoption of scalable, event-driven, and real-time data patterns to reduce duplication and latency

o Evaluate and guide selection of data platforms, tools, and integration technologies

· Governance and Standards

o Partner with Data Governance Office to establish enterprise data governance frameworks, standards, and metrics to ensure quality, consistency, and compliance

o Partner with security, legal, and compliance teams to align with regulatory requirements

· Stakeholder Alignment & Change Leadership

o Align business and IT leaders on data ownership, priorities, and adoption strategies

o Drive enterprise-wide adoption and migration to new data products through strong influence and communication

· Mentorship & Leadership

o Provide architectural leadership and mentoring across data, integration, and domain architecture teams

Promote best practices and build enterprise-wide data architecture capabilities

Required Skills:

Required Qualifications

13+ years of experience in enterprise or data architecture, with deep expertise in data architecture and strategy

· Proven leadership in large-scale data transformation initiatives (data platforms, integrations, or migrations)

· Strong experience with data integration patterns, including APIs, event-driven architectures, and cloud data platforms

· Demonstrated ability to define enterprise roadmaps and execute across complex organizations

· Expertise in data governance, data modeling, and systems of record

Strong executive communication and stakeholder management skills

Preferred Qualifications:

· Experience implementing data product or domain-driven data architectures

· Experience in healthcare or regulated industries

· Familiarity with enterprise architecture frameworks (e.g., TOGAF)

Experience working with modern data platforms (e.g., cloud data lakes, streaming technologies, API management platforms)

Key Skills

Education

Bachelor’s degree