AI & Data Strategy Architect
Core
Advise clients on utilizing data and AI to drive business transformation, create aligned strategies, design implementation roadmaps, and guide adoption of advanced platforms and responsible AI practices.
Role type
Strategy-level principal data scientist (AI & Data Strategy)
Builds
Data and AI strategies, implementation roadmaps, future state operating models, and business cases for large enterprises.
Domain
Enterprise data and AI consulting across Financial Services, Healthcare, and Retail.
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure
Required skills
Executive presence, cloud ecosystem expertise, modern data architecture knowledge, cross-functional team leadership, strategic opportunity identification, long-term roadmap sequencing, operating model design, data governance, privacy and security knowledge, regulatory compliance, use case prioritization, SWOT analysis, technology rationalization, industry strategy frameworks, global privacy requirements (GDPR, CCPA), team coaching and mentoring, client stakeholder management, distributed team collaboration, business case development with ROI focus, technical recommendation articulation to non-technical audiences, workshop facilitation, discovery session leadership.
Preferred skills
None explicitly stated as preferred, only required.
Technologies
Snowflake, AWS, Anthropic, Glean, dbt, KNIME, Dataiku, Sigma, Azure.
Responsibilities
Advise clients on data and AI utilization for business transformation; create data and AI strategies aligned to client goals; design implementation roadmaps; guide organizations through adoption of advanced data platforms and responsible AI practices; build and expand the Advisory practice by developing offerings and cultivating client relationships; mentor high-performing teams; lead cross-functional teams including Business Analysts, Technical Architects, Data Engineers, and Change Leaders; collaborate with client stakeholders, technology partners, and sales/delivery teams across distributed global teams; deliver presentations with compelling storylines tailored to executive and technical audiences; facilitate discovery sessions and workshops; lead "art of the possible" sessions; guide technology rationalization decisions based on TCO and business need.
Seniority
Principal, strategy & mentorship
