Data Strategy & Architecture Lead at EXL focusing on data strategy across Banking, Insurance, and Healthcare sectors. Leading consulting engagements that create value-driven data roadmaps with strategic leadership.
Responsibilities
Lead consulting engagements that assess maturity, define target-state architectures, and design value-driven data roadmaps.
Work closely with Architecture and Technology capability teams, translating business goals into actionable blueprints that drive modernization, self-service analytics, and trusted data foundations.
Combine strategic leadership with deep architectural understanding to enable clients to accelerate digital and AI transformation through strong data design principles.
Operate in a flexible home-office/hybrid model, with periodic travel to EXL offices, client sites and industry events.
Requirements
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.
Deep knowledge of data and solution architecture principles, including integration patterns, APIs, data virtualization, and cloud-native components.
Proven ability to design or lead definition of target data platform architectures across multi-cloud or hybrid environments.
Working familiarity with leading tools across the ecosystem (e.g., Snowflake, Databricks, Synapse, Collibra, Informatica, Alation, Kafka).
Strong facilitation and advisory skills to drive architectural consensus among executive and technical stakeholders.
Ability to synthesize strategy and architecture deliverables into clear business cases and transformation roadmaps.
Strong organizational skills to manage multiple dependencies across short (6–12 week) consulting engagements.
Demonstrated aptitude for mentoring peers and advancing architectural literacy across the consulting team.
Creative, analytical thinker able to adapt to evolving data and AI landscapes.
Provide day-to-day leadership and guidance to engagement teams composed of solution architects, data governance leads, analysts, and SMEs.
Set engagement goals, provide feedback, and contribute to formal performance evaluations.
Over time, may manage direct reports within the Data Strategy capability.
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