Director, Data & Analytics

Overview

The Director, Data & Analytics is the senior leader responsible for defining and executing Hussmann’s enterprise data, analytics, and AI strategy. Reporting to the Enterprise Business Solutions Lead, this role drives a modern data platform roadmap, advances a “data-as-an-asset” culture, and ensures trusted, scalable data solutions that deliver measurable business value.

This leader will drive Hussmann’s AI readiness, lead enterprise analytics initiatives, and partner across Digital Platform teams to strengthen data quality, governance, and lineage. The role combines strategic leadership, operational excellence, financial stewardship, and team development to support key priorities including Microsoft Fabric migration, MDM maturity, and AI‑enabled business outcomes.

• Define and execute Hussmann’s enterprise Data & Analytics strategy aligned with business and IT priorities.
• Partner with executive and business leaders to identify and prioritize high‑value analytics and AI opportunities tied to revenue, productivity, customer experience, and operational performance.
• Establish and communicate D&A KPIs, roadmap progress, and business value realization.

• Lead the enterprise data platform strategy across cloud data, analytics, BI, and integration capabilities, with Microsoft Fabric migration as a strategic priority.
• Ensure enterprise data is AI‑ready through strong foundations in data quality, governance, lineage, semantic modeling, and MDM.
• Drive enterprise AI strategy, including GenAI initiatives, governance, and responsible AI practices.
• Partner with business and IT teams to pilot, scale, and operationalize AI‑enabled solutions.

• Ensure reliable, scalable, and cost‑effective data and analytics platforms that meet operational and service expectations.
• Champion data governance, stewardship, MDM, and enterprise data quality standards.
• Partner with Security, Legal, Compliance, and Digital teams to ensure proper data privacy, classification, and regulatory alignment.
• Drive continuous improvement through automation, observability, and vendor/service optimization.

• Build and lead a high‑performing global Data & Analytics team across the US and India.
• Develop organizational capabilities across data engineering, analytics, BI, integration, and AI/ML.
• Manage the D&A budget, vendor relationships, and strategic partnerships to maximize value and execution.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or related field required;
  Master’s degree preferred.
• 15+ years of progressive IT or business experience, including 7+ years in Data & Analytics leadership.
• Experience leading enterprise‑scale cloud data modernization initiatives (Microsoft Fabric, Azure, Databricks, Snowflake, or similar).
• Proven success delivering measurable business value through analytics, data platforms, and AI initiatives.
• Manufacturing or industrial experience preferred.

• Expertise in modern data architecture, analytics platforms, MDM, governance, and cloud data ecosystems.
• Strong knowledge of Microsoft Fabric, Azure Data Services, Power BI, and enterprise data platforms.
• Working knowledge of AI/ML, GenAI, and responsible AI practices.
• Strong executive communication, business partnership, and change leadership skills.
• Demonstrated success leading globally distributed teams and vendor partnerships.

• Health Benefits – Offering medical, dental, vision, prescription plans, plus Health Savings Account and Flexible Spending Account options.
• Voluntary Benefits – Life, accident, critical illness, disability, legal, identity theft, and pet insurance.
• Hussmann Retirement Savings & Investment Plan – 401(k) plan with company matching contributions and immediate vesting.
• Paid Time‑Off Benefits – Paid time off, stewardship and parental leave.
• Educational Assistance – Tuition reimbursement for job‑related courses after six months of service.
• Health Management and Wellbeing Programs – EAP, virtual health management, chronic condition, and tobacco cessation.