Senior Enterprise AI & Data Products Lead

Lehigh Hanson Inc.; Irving (TX); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

401(k) retirement plan

Medical, Dental, and Vision benefits

HSA, HRA and FSA

AD&D, Short- and Long-Term Disability

Paid bonding leave, vacation, sick pay

Job summary

Heidelberg Materials North America is seeking a senior analytics leader to own the strategy, roadmap, and lifecycle of business-facing data and AI products. You will partner with Finance, Commercial, Operations, Digital, and Data Engineering to deliver high-impact analytics and AI use cases across a hybrid work environment.

You will drive KPI governance, semantic models, and reusable reporting frameworks while enabling AI-powered decision-making and self-service analytics for multiple business

Qualifications

• Bachelor's degree in Business, Finance, Analytics, Information Systems, Engineering, Computer Science, or related field.
• 5+ years of analytics, business intelligence, data products, enterprise data platforms, finance analytics, digital transformation, or related disciplines 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; Databricks preferred; Snowflake/Azure data platforms also valued.
• Demonstrated 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.

Responsibilities

• Lead enterprise adoption of Databricks analytics, AI/BI, Genie, applications, semantic capabilities, and emerging AI technologies.
• 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 that 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.
• Occasional travel may be required to support business initiatives, stakeholder engagement, and project implementation.

Skills

Stakeholder management

Executive communication

Facilitation

Data storytelling

Education

Bachelor's degree

Tools

Databricks

Snowflake

Microsoft Fabric

Azure data platforms

Job description

Heidelberg Materials North America is seeking a senior analytics leader to own the strategy, roadmap, and lifecycle of business-facing data and AI products. You will partner with Finance, Commercial, Operations, Digital, and Data Engineering to deliver high-impact analytics and AI use cases across a hybrid work environment.

You will drive KPI governance, semantic models, and reusable reporting frameworks while enabling AI-powered decision-making and self-service analytics for multiple business