Note: The job is a remote job and is open to candidates in USA. Mayo Clinic is a healthcare organization seeking a Principal Data & Analytics Strategist to serve as an enterprise-level technical authority and thought leader for data, analytics, and AI solutions. The role translates enterprise strategy into scalable architectures, governance frameworks, delivery models, and decision frameworks while guiding high-impact initiatives and influencing cross-functional stakeholders.
Responsibilities
- Serves as a principal-level individual contributor and technical authority and enterprise-level thought leader for data, analytics, and AI solution direction across products, platforms, and strategic problem areas
- Shapes how enterprise data, analytics and AI strategy is translated into scalable solution patterns, architectural guardrails, and delivery models that can be consistently executed across teams
- Connects system-level technical decisions to broader enterprise data and analytics strategy, governance, and investment intent—ensuring initiatives are interoperable, governable, and positioned to deliver sustained, measurable value at scale
- Operates across high ambiguity, making and documenting complex tradeoffs related to platform capabilities, data architecture, analytics and AI patterns, operating constraints, and sequencing of delivery
- Influences the full solution lifecycle—from opportunity framing and options analysis through solution design guidance and delivery oversight
- Defines and socializes reference architectures, preferred patterns, and decision frameworks, supports high-risk or high-impact initiatives, and accelerates progress through hands-on exploration and prototyping where early technical validation is critical
- Partners closely with senior leaders and practitioners across data engineering, analytics/BI, AI/ML, platform, security, and governance functions to align on technical direction, surface risks and dependencies early, and enable timely, enterprise-wide decision-making
- Exerts influence without direct authority to drive clarity, consistency, and execution momentum
Skills
- Bachelor's degree in computer science, information systems, engineering, mathematics, statistics, data science, or related field from an accredited University or College is required
- Extensive (15-20+ years) experience in enterprise data, analytics, and/or AI strategy, architecture, consulting, product/program delivery, or related discipline
- Demonstrated experience defining enterprise-level strategy and translating it into executable roadmaps, capability models, and delivery guardrails across multiple portfolios
- Proven ability to communicate complex technical implementation concepts to executive leadership, including architecture tradeoffs, investment options, risk, and sequencing; produces clear, decision-ready materials
- Strong working knowledge of modern data and analytics concepts (data products, data platforms, pipelines, BI/visualization, governance, metadata, quality, privacy/security fundamentals, and observability)
- Experience influencing across senior stakeholders and cross-functional teams (engineering, analytics, AI/ML, security, privacy, architecture, governance) to drive alignment and decisions in ambiguous environments
- Experience operating in regulated environments (e.g., healthcare, research, financial services), with familiarity with privacy, compliance, governance, and responsible AI expectations
- Demonstrated facilitation skills for executive and technical audiences (workshops, strategic reviews, governance forums) and strong written communication skills
- Certification in one or more major cloud platforms (Google, Azure, etc)
- Experience establishing or evolving enterprise data operating models (e.g., data product operating model, platform governance, domain engagement, stewardship models) and measuring adoption/maturity over time
- Experience developing and/or governing enterprise AI strategy, including responsible AI controls, model risk management, and GenAI/agentic patterns (grounding, evaluation, monitoring)
- Experience with cloud data platforms and modern architecture patterns (lakehouse/warehouse, streaming/eventing, semantic layers/metrics, MDM/reference data), including cost/value tradeoffs
- Demonstrated experience building reusable playbooks, reference architectures, templates, and standards that scale delivery across multiple teams
- The ideal candidate will have prior experience in working through large scale AI transformations for organizations including creation of vector stores, Knowledge graphs, MCP servers and getting an organization data teams AI ready
- Master's degree or PhD in a related field (e.g., computer science, data science, business analytics, healthcare informatics, or MBA) is preferred
Benefits
- Medical: Multiple plan options.
- Dental: Delta Dental or reimbursement account for flexible coverage.
- Vision: Affordable plan with national network.
- Pre-Tax Savings: HSA and FSAs for eligible expenses.
- Retirement: Competitive retirement package to secure your future.
- Continuing education and advancement opportunities at every turn.
- 100% remote role
Company Overview