Global consultancy requires a Data Strategy & Architecture Lead to own the end-to-end vision, definition, and architectural realization of data strategy engagements across key verticals — including Banking, Insurance, and Healthcare.
This role bridges the gap between data strategy and solution architecture, ensuring that strategic recommendations are executable through modern, AI-ready data platforms and technology ecosystems.
You will lead consulting engagements that assess maturity, define target-state architectures, and design value-driven data roadmaps. Working closely with their Architecture and Technology capability teams, you’ll translate business goals into actionable blueprints that drive modernization, self-service analytics, and trusted data foundations. This role combines strategic leadership with deep architectural understanding, enabling clients to accelerate digital and AI transformation through strong data design principles.
Qualifications and experience we consider to be essential for the role:
* Bachelor’s or Master’s degree, or 12–15+ years of relevant experience in data management, architecture, and consulting.
* 10+ years of professional experience in data and analytics, including architecture or solution design for enterprise platforms.
* 3+ years of experience in Banking or Financial Services (preferred); Insurance and Healthcare experience a plus.
* Outstanding presentation and communication skills with executive audiences.
* Strong understanding of cloud-based data architectures (e.g., lakehouse, data mesh/fabric, MDM, and data integration).
* Experience leading data platform modernization initiatives and aligning them with business value outcomes.
* Demonstrated ability to bridge strategy and architecture — translating vision into technical blueprints.
* Prior consulting or consultative experience required.
* Architecture certifications (TOGAF, cloud architect) a plus.