Managing Director, Enterprise Data & Analytics (Databricks)

Location: United States; primary location Chicago, Illinois, with additional locations in Dallas, Texas; Iselin, New Jersey; San Francisco, California; Seattle, Washington; and New York City, New York.

Salary: $350,000–$550,000 national pay rate range.

Company

hirify.global is a professional services firm providing tax, assurance, business advisory, and consulting services through a U.S. and global network.

What you will do

• Lead strategy, architecture, engineering, and operations for the enterprise Databricks lakehouse using a scalable bronze/silver/gold medallion architecture.
• Oversee data engineering, integration, DataOps, ingestion, transformation, orchestration, testing, CI/CD, observability, and operational support.
• Own enterprise data architecture, domains, integration patterns, authoritative sources, data contracts, metadata, lineage, and reusable data products.
• Lead semantic modeling, governed business metrics, reporting, dashboards, analytics, and enterprise master data management, including entity resolution and golden records.
• Establish governance, privacy, security, data quality, retention, access control, audit, and public-company readiness practices with cross-functional stakeholders.
• Lead Data Engineering and Enterprise Data Analytics teams, manage vendors and investments, and deliver governed data services for AI, generative AI, and agentic applications.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field required.
• 15+ years of experience in data engineering, data platforms, enterprise data architecture, analytics, or technology leadership, including significant enterprise-wide people and budget leadership.
• Proven ownership of a production Databricks lakehouse and medallion architecture, including scalable engineering, governance, observability, performance, and FinOps.
• Demonstrated site reliability engineering practices for enterprise data platforms, including service-level objectives, error budgets, automated observability, incident response, root-cause analysis, tested recovery, and measurable improvements in freshness, availability, recovery time, and workload cost.
• Deep experience with semantic modeling, governed business metrics, modern BI/reporting, enterprise data products, and enterprise MDM, including entity resolution, golden records, and stewardship.
• Experience integrating ERP, CRM, HR, finance, and other systems of record in a complex multi-business organization.
• Experience in IPO-ready or publicly traded environments, including data and reporting controls, ITGC/SOX-relevant processes, audit evidence, financial-data lineage, change controls, and collaboration with Finance and auditors.
• Experience operationalizing privacy and protection standards and translating governance, privacy, and security policies into automated, testable controls, including policy-as-code, entitlement validation, lineage checks, retention and deletion enforcement, and audit evidence.
• Experience enabling AI/ML and generative AI programs with governed data, reusable contracts, high-quality datasets, production service levels, permission-aware access, source provenance, reproducible evaluation datasets, and freshness controls.
• Strong record of influencing executive stakeholders and leading complex operating-model and data modernization transformations.

Nice to have

• Professional services, financial services, or other regulated and data-intensive industry experience.

Culture & Benefits

• Full-time employment with a comprehensive compensation and benefits package for eligible employees.
• Cross-functional collaboration with technology, AI, security, risk, legal, privacy, finance, and business leaders.
• Leadership of multidisciplinary Data Engineering and Enterprise Data Analytics teams across U.S. and global operations.
• Responsibility for aligning enterprise data investments, vendor partnerships, capacity planning, and technology roadmaps with business outcomes.