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About the role

Hybrid work environment in Irving, TX. Full‑time, permanent position requiring W2 basis. The client seeks a leader to drive enterprise adoption of Databricks analytics, AI, BI, semantic capabilities, and emerging AI technologies to deliver measurable business value.

Responsibilities

• Lead enterprise adoption of Databricks analytics, AI/BI, Genie, applications, semantic capabilities, and emerging AI technologies while translating platform capabilities into business value.
• Partner with Finance, Commercial, Operations, Digital, and Data Engineering teams to identify, prioritize, and deliver high-impact analytics and AI use cases.
• Own the strategy, roadmap, and lifecycle of business-facing data and AI products from opportunity identification through deployment, adoption, and value realization.
• Establish and govern enterprise KPI definitions, semantic models, ontology frameworks, and metric standards to ensure consistent, trusted insights across reporting, analytics, and AI solutions.
• Drive AI-powered decision-making by enabling conversational analytics, natural language querying, AI-generated insights, alerts, and recommendations that reduce manual reporting and accelerate action.
• Champion data governance, quality, reconciliation, and standardization practices to ensure trusted metrics, explainable AI outputs, and reusable data assets across enterprise platforms.
• Lead business enablement and change management efforts by developing adoption strategies, training users, fostering self-service analytics capabilities, and serving as the primary bridge between business stakeholders and technical teams.

Requirements

Experience

• 5+ years in analytics, business intelligence, data products, enterprise data platforms, finance analytics, digital transformation, or related disciplines with a record of delivering business value.
• 3+ years leading cross-functional initiatives involving business stakeholders, data engineering teams, analytics platforms, enterprise reporting, or data transformation programs.
• Strong understanding of modern enterprise analytics and data platforms; Databricks experience strongly preferred.
• Experience with Snowflake, Microsoft Fabric, Azure data platforms, or similar ecosystems is valued.
• Proven ability to translate business priorities into scalable data products, governed metrics, semantic models, dashboards, applications, and AI-enabled solutions.
• Experience designing and governing KPIs, metric definitions, business glossaries, semantic layers, and reusable reporting frameworks that support consistent decision-making.
• Exceptional stakeholder management, executive communication, facilitation, and data storytelling skills with the ability to influence without direct authority and drive alignment across business and technical teams.

Education

• Bachelor's degree in Business, Finance, Analytics, Information Systems, Engineering, Computer Science, or a related field.
• Advanced degrees, industry certifications, Databricks expertise, and experience with generative AI and conversational analytics are preferred.

Pay

Salary: $160,000 - $170,000 per year (W2).