Business Manager - Enterprise AI

Heidelberg Materials • Irving, TX

1d • Hybrid

About The Position

Heidelberg Materials is one of the world's largest suppliers of building materials. Heidelberg Materials North America operates over 450 locations across the U.S. and Canada with approximately 9,000 employees.

Lead enterprise adoption of Databricks analytics, AI/BI, Genie, applications, semantic capabilities, and emerging AI technologies, 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 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.

Requirements

• Bachelor's degree in Business, Finance, Analytics, Information Systems, Engineering, Computer Science, or a related field.
• 5+ years of experience in analytics, business intelligence, data products, enterprise data platforms, finance analytics, digital transformation, or related disciplines, with a strong track record of delivering business value.
• 3+ years of experience 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; experience with Databricks is strongly preferred, while experience with Snowflake, Microsoft Fabric, Azure data platforms, or similar ecosystems is 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 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.

Nice To Haves

• Advanced degrees, industry certifications, Databricks expertise, experience with generative AI and conversational analytics, and backgrounds in industrial or asset-intensive industries are preferred.

Responsibilities

• Lead enterprise adoption of Databricks analytics, AI/BI, Genie, applications, semantic capabilities, and emerging AI technologies, 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 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.

Benefits

• Competitive base salary
• 401(k) retirement savings plan with an automatic company contribution as well as matching contributions
• Highly competitive benefits programs, including: Medical, Dental, and Vision along with Prescription Drug Benefits
• Health Saving Savings Account (HSA), Health Reimbursement Account (HRA) and Flexible Spending Account (FSA)
• AD&D, Short- and Long-Term Disability Coverage as well as Basic Life Insurance
• Paid Bonding Leave, 15 days of Paid Vacation, 40 hours of Paid Sick Leave and 10 Paid Holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level