Enterprise AI & Data Product Leader

Heidelberg Materials North America; Irving (TX); Híbrido; USD 150.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

401(k) plan with company match and Aut

Medical, Dental, Vision benefits

HSA, HRA, FSA

Paid time off and holidays

Descripción de la vacante

Heidelberg Materials North America seeks a data and AI platform leader to drive enterprise analytics and AI initiatives. You will own strategy, roadmap, and lifecycle of business-facing data products, partnering with Finance, Commercial, Operations, Digital, and Data Engineering to deliver high-impact use cases.

You will establish KPI definitions, semantic models, and governance, enable AI-powered decision-making, and champion data quality and change management across locations in a hybrid

Formación

• Bachelor's degree in a related field; advanced degrees or certifications preferred.
• 5+ years in analytics, BI, data products, or related disciplines with proven business value delivery.
• 3+ years leading cross-functional initiatives with business stakeholders and data teams.
• Strong enterprise analytics knowledge; Databricks preferred; Snowflake/Azure Fabric valued.
• Ability to translate priorities into scalable data products, governed metrics, and AI-enabled solutions.
• Experience designing KPIs, business glossaries, semantic layers, and reporting frameworks.
• Exceptional stakeholder management and executive communication with data storytelling.
• Hybrid office environment; occasional travel may be required.

Responsabilidades

• Lead strategy, roadmap, and lifecycle of business-facing data and AI products.
• Partner with Finance, Commercial, Operations, Digital, and Data Engineering to deliver high-impact analytics and AI use cases.
• Establish and govern enterprise KPI definitions, semantic models, and metric standards.
• Drive AI-powered decision-making with conversational analytics and AI-generated insights.
• Champion data governance, quality, reconciliation, and standardization across platforms.
• Lead adoption strategies, training, and serve as bridge between business and technical teams.
• Collaborate across functions and locations in a hybrid office setting.
• Support rapid, iterative analytics and digital transformation initiatives.

Conocimientos

Stakeholder management

Executive communication

Data storytelling

Strategic thinking

Educación

Bachelor's degree in Business/Finance/Analytics/IS/Engineering/CS

Advanced degree or industry certifications

Herramientas

Databricks

Snowflake

Microsoft Fabric

Azure data platforms

Descripción del empleo

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.

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

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

Equal Opportunity Employer - Minority / Female / Veteran / Disabled

As part of our hiring process, we may use AI-assisted tools to support the screening and evaluation of candidate applications and interviews. These tools help streamline the initial assessment, but all decisions about candidate advancement are made by human recruiters and hiring managers. While technology supports early steps, every interview will be handled by experienced recruiters and hiring managers to provide a personal touch.

Heidelberg Materials provides the materials to build our future. Our future is sustainable. Our future is digital. And it goes beyond cement, aggregates and ready-mixed concrete. Heidelberg Materials North America operates more than 450 locations with approximately 9,000 employees in the U.S. and Canada.