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Eliassen Group; Irving (TX); Hybrid; USD 160,000 - 170,000; Full time

Job summary

Eliassen Group is seeking a strategic leader to drive enterprise adoption of Databricks analytics, AI, and semantic capabilities in a hybrid role based in Irving, TX. You will own the strategy and lifecycle of business-facing data and AI products, aligning with Finance, Commercial, and Digital teams to deliver measurable value.

The role requires 5+ years in analytics, strong cross-functional leadership, and a proven ability to translate business priorities into scalable data products while

Qualifications

• 5+ years in analytics, BI, data platforms, or related fields with a track record of delivering business value.
• 3+ years leading cross-functional initiatives with business stakeholders and data teams.
• Strong understanding of modern enterprise analytics and data platforms; Databricks experience preferred.

Responsibilities

• Lead enterprise adoption of Databricks analytics, AI/BI, and emerging AI technologies to deliver business value.
• Partner with Finance, Commercial, Operations, Digital, and Data Engineering to identify and deliver high-impact analytics use cases.
• Own strategy, roadmap, and lifecycle of business-facing data and AI products from opportunity to value realization.
• Establish and govern KPI definitions, semantic models, and metric standards for trusted insights.
• Drive AI-powered decision-making with conversational analytics, NLQ, AI insights, alerts, and recommendations.
• Champion data governance, quality, and standardization across enterprise platforms.
• Lead adoption strategies, training, and self-service analytics as the main bridge between business and tech teams.

Skills

Analytics strategy

Cross-functional leadership

Stakeholder management

Data storytelling

Education

Bachelor's degree in Business, Finance, Analytics, IS, Eng, CS

Tools

Databricks

Snowflake

Azure data platforms

Job description

Description

Hybrid work enviornment in Irving, TX. Our client seeks a leader to drive enterprise adoption of Databricks analytics, AI, BI, semantic capabilities, and emerging AI technologies to deliver measurable business value. The role partners with Finance, Commercial, Operations, Digital, and Data Engineering to identify, prioritize, and deliver high-impact analytics and AI use cases. The position owns the strategy, roadmap, and lifecycle of business-facing data and AI products, establishes governed metrics and semantic models, and advances AI-powered decision-making across the enterprise. The role champions data governance, quality, and standardization while enabling change management, training, and self-service analytics adoption.

This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis.

Salary: $160,000 - $170,000/ yr. w2

JN-092026-108592

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.

Experience Requirements

• 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 is 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 Requirements

• 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.