Vice President, Data & Analytics

The Vice President, Data & Analytics provides executive leadership for the organization's data strategy, data governance, enterprise data warehouse, business intelligence, and AI initiatives — and is a true player-coach: an executive who sets direction and builds the team while remaining hands-on in the platform working alongside the team they lead. This role ensures that data and AI are treated as strategic assets, enabling informed decision-making, operational excellence, and business growth.

Work You’ll Do:

Leadership & strategy

Player-coach profile: leads a small, global team but personally engaged in deep technical work Strong documentation and knowledge-management habits — data contracts, table docs, and query patterns as first-class deliverables

Vendor/platform cost management: compute governance, storage lifecycle policies, and experience managing the cost / value equation

Partner with business and enterprise stakeholders to align data initiatives with broader organizational priorities

Build, mentor, and retain a high-performing global team; set the operating model, hiring plan, and delivery priorities

Establish enterprise data governance and stewardship — data ownership, quality standards, and access policy — partnering with security, legal, and compliance

Hands-on lakehouse engineering

Expert-level Databricks (or similar technology):
Delta Lake internals (MERGE/CDC patterns, OPTIMIZE, vacuum/retention, time travel), SQL warehouses, and workflow/job orchestration

Deep experience with medallion (bronze/silver/gold) architectures — efficicent load design, dedup strategy at ingestion, and grain/key discipline through each layer

Strong Unity Catalog governance skills: access model design, lineage, and system-table observability

Data architecture & modeling

Proven dimensional-modeling depth (Kimball-style facts/dims): define and enforce fact grain, conformed dimensions, and surrogate-key discipline

Multi-ERP integration experience (SAP, Dynamics, Navision, JDE/E1, IFS or similar)
CDC/replication architecture: choosing and implementing change-capture patterns that minimize storage and compute requirements

Assessment & redesign capability

Track record of leading a platform assessment and rationalization: data-quality profiling, source-to-target lineage reconstruction, and storage/compute cost reduction

Capability to develop and stand up a continuous data-quality framework: automated grain/duplication/reconciliation tests in the pipelines (e.g., dbt tests, Delta Live Tables expectations, or equivalent)
Financial reconciliation mindset: experience tying warehouse facts to reported financials (orders vs bookings vs GL) and documenting where they legitimately diverge

Pragmatic migration planning: can sequence a redesign while keeping certified models and executive dashboards liveAI & advanced analytics

Define and drive the AI/ML and generative-AI strategy: identify, prioritize, and sequence high-value use cases tied to measurable business outcomes

Stand up responsible-AI and model governance: evaluation, monitoring, data-privacy, and risk controls for both predictive and generative systems

Enable self-service analytics and citizen development through governed data products and a trusted semantic layer

Reporting:

Reporting to the Chief Enterprise Business Services Officer, the Vice President leads a team spanning data warehouse and AI, and partners with a much larger group of indirect stakeholders across the business.

Basic Qualifications:

Bachelor’s degree in Data Science, Information Systems, Computer Science, or related field — or equivalent experience.

Preferred Qualifications:

10 or more years of progressive experience in analytics, business intelligence, and data administration

Expertise in data governance, data architecture, BI platforms, and cloud data technologies,Strong proficiency with data modeling and analytics methodologies

Strong executive communication and strategic planning skills

Demonstrated people-leadership: building, mentoring, and retaining technical teams while remaining hands-on in the platform

Experience setting AI/ML and analytics strategy and standing up data or AI governance at enterprise scale

Wh…