Business Manager - Enterprise AI

Heidelberg Materials; Irving (TX); Hybrid; USD 136,000 - 181,000; Full time

Benefits offered by this job

401(k) matching

Competitive salary

Comprehensive benefits

Job summary

Heidelberg Materials North America is seeking a senior analytics leader to drive enterprise adoption of Databricks analytics, AI/BI, and related data products. You will own the strategy, roadmap, and lifecycle of business-facing data assets, partnering with Finance, Operations, Digital, and Data Engineering to deliver high-impact use cases and measurable value.

The role requires a strong background in analytics, KPI governance, and stakeholder management, with a hybrid work environment and

Qualifications

• Bachelor's degree in a related field; advanced degrees or certifications preferred.
• 5+ years in analytics, BI, data products or related disciplines with business value delivery.
• Experience translating priorities into scalable data products and dashboards.

Responsibilities

• Lead enterprise adoption of Databricks analytics, AI/BI, and related technologies.
• Partner with Finance, Commercial, Operations, Digital, and Data Engineering to deliver high-impact use cases.
• Own strategy, roadmap, and lifecycle of data products and KPI definitions.
• Govern semantic models, metrics, and reusable data assets across platforms.
• Enable AI-driven decision making with conversational analytics and actionable insights.
• Champion data governance and quality to ensure trusted metrics and explainable AI.
• Drive adoption through change management, training, and cross-functional collaboration.

Skills

Stakeholder mgmt

Data storytelling

Analytics leadership

Education

Bachelor's degree

Tools

Databricks

Snowflake

Azure data platforms

Microsoft Fabric

Job description

Line of Business: Service & Support

Pay Range: $136,030.00 - $181,363.32

About Us

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.

What You'll Be Doing

• 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.

What Are We Looking For

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

• 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.

Work Environment

• Hybrid office environment with opportunities to collaborate across multiple business functions and locations.

• Fast-paced, innovative setting focused on continuous improvement and operational excellence.

• Occasional travel may be required to support business initiatives, stakeholder engagement, and project implementation.

What We Offer

• Competitive base salary

• 401(k) retirement savings plan with an automatic company contribution as well as matching contributions

• Highly competitive benefits programs, including:

Equal Opportunity Employer - Minority / Female / Veteran / Disabled