Sr. Director, Enterprise Intelligence

Position Summary

The Senior Director, Enterprise Intelligence is responsible for defining, building, and leading JM Huber's enterprise capability for Data, Analytics, Business Intelligence, Artificial Intelligence, and Automation.

This role establishes the vision, strategy, governance, architecture, operating model, and organizational capabilities required to transform enterprise data into business value. The position is accountable for creating an integrated Enterprise Intelligence function that enables trusted data, actionable insights, enterprise performance management, responsible AI adoption, and scalable automation across Huber.

Reporting to senior IT leadership, the Senior Director serves as the strategic bridge between business priorities and technology capabilities. The role partners with executive leadership, business functions, and Information Technology teams to develop enterprise intelligence strategies, create decision-support capabilities, establish governance frameworks, and drive measurable business outcomes through data, analytics, and AI.

The Senior Director will build this capability from the ground up, including organizational design, talent development, enterprise architecture, governance, adoption programs, and delivery models that support Huber's long-term growth and digital transformation objectives.

Principal Duties & Responsibilities

Enterprise Intelligence Strategy & Leadership

• Develop and execute Huber's Enterprise Intelligence strategy, roadmap, and operating model.
• Establish priorities, investments, governance processes, and organizational capabilities aligned with enterprise objectives.
• Serve as the senior advisor to business and technology leadership on data, analytics, business intelligence, artificial intelligence, and automation strategies.
• Translate business priorities into actionable intelligence capabilities that improve decision-making, operational performance, and business outcomes.
• Lead enterprise communication, stakeholder engagement, and organizational change initiatives required to drive adoption and business value.

Enterprise Data Architecture & Governance

• Establish the target-state enterprise data architecture and information management strategy required to support analytics, reporting, and artificial intelligence.
• Lead development of enterprise data governance, stewardship, quality, security, and ownership frameworks.
• Oversee the evolution from fragmented reporting environments to a scalable enterprise data platform with common business definitions and trusted information assets.
• Ensure enterprise data assets are governed, accessible, and aligned with business requirements while supporting future AI and advanced analytics capabilities.

Business Intelligence, Analytics & Performance Management

• Establish the enterprise strategy for reporting, analytics, performance measurement, and executive decision support.
• Lead the development of enterprise KPI frameworks, executive dashboards, financial reporting, operational reporting, and management scorecards.
• Build a federated analytics model that enables collaboration between Enterprise Intelligence resources and business-embedded analysts, Power BI super users, and subject matter experts.
• Implement self-service reporting and analytical capabilities that increase organizational agility while maintaining governance and consistency.
• Ensure reporting and analytics investments drive measurable business value and support strategic decision making at all levels of the organization.

Principal Duties and Responsibilities (continued)

Artificial Intelligence Strategy, Governance & Enablement

• Define and execute JM Huber's enterprise AI strategy, roadmap, and governance framework.
• Identify, prioritize, and scale AI and automation opportunities that improve productivity, efficiency, and business performance.
• Evolve enterprise AI policies, guardrails, governance, risk management, and responsible AI standards in partnership with Cybersecurity, Compliance, Architecture, and other stakeholders.
• Lead enterprise AI adoption through education, enablement, and change management initiatives.
• Sponsor and expand Huber's AI Champion Program to build AI literacy, encourage innovation, and accelerate responsible use of AI across the enterprise.

Organization Development, Delivery & Value Realization

• Build and lead a high-performing Enterprise Intelligence organization encompassing data architecture, business intelligence, analytics, AI, and automation capabilities.
• Develop talent, succession plans, career paths, and leadership capabilities required to sustain long-term organizational success.
• Establish portfolio governance and prioritization processes that align resources with enterprise priorities.
• Lead strategic vendor and delivery partner relationships.
• Define and measure business outcomes, value realization, adoption metrics, and return on investment for Enterprise Intelligence initiatives.

Technical Strategy, Architecture Oversight & Advisory Leadership

• Set the strategic direction for enterprise data, analytics, business intelligence, AI, integration, and architecture.
• Establish and govern technology standards, architecture principles, solution design practices, and enterprise models.
• Review and approve complex architectures to ensure scalability, interoperability, security, maintainability, and business alignment.
• Guide platform modernization, technology selection, vendor evaluation, and innovation initiatives.
• Partner across IT to resolve complex issues, govern technical decisions, and mitigate delivery risk.

Specialized/Technical Knowledge or Required Skills

Education

• Bachelor’s degree in information systems, Computer Science, Engineering, Analytics, Data Science, Business Administration, or related discipline required.
• Master's degree preferred.

Experience

• 15+ years of progressive leadership experience in data, analytics, business intelligence, information management, enterprise applications, AI, or digital transformation.
• Proven success building and leading enterprise-scale data, analytics, AI, or digital transformation capabilities.
• Hands-on experience designing and implementing enterprise data architectures, platforms, integrations, analytical models, business intelligence solutions, and AI capabilities.
• Experience establishing enterprise governance frameworks, operating models, and organizational capabilities.
• Proven ability to influence executive stakeholders, lead cross-functional transformation, and manage strategic vendors and delivery partners.

Knowledge, Skills & Abilities

• Strong understanding of enterprise data architecture, data governance, analytics, business intelligence, information management, and modern data platforms.
• Knowledge of Artificial Intelligence, Generative AI, intelligent automation, machine learning, and emerging AI technologies.
• Ability to develop enterprise strategies and translate complex concepts into actionable business outcomes.
• Strong organizational leadership, portfolio management, financial management, and change leadership capabilities.
• Exceptional communication, relationship management, and executive influencing skills.
• Demonstrated ability to build high-performing teams and develop future organizational leaders.