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Director, Enterprise Data

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Flexential Corp.
Full Time position
Listed on 2026-10-08
Job specializations:
  • IT/Tech
    Data Engineering, Business Intelligence, AI Business & Operations, Data Warehousing
Salary/Wage Range or Industry Benchmark: 175000 - 200000 USD Yearly USD 175000.00 200000.00 YEAR
Job Description & How to Apply Below

The Director, Enterprise Data, is responsible for defining and executing Flexential's enterprise data strategy, governance framework, architecture roadmap, integration services, analytics enablement capabilities, and information management practices. This leader provides strategic direction and operational oversight for the people, platforms, architecture, governance, and operating model needed to make enterprise data trusted, reliable, discoverable, reusable, and fit for purpose. This role leads the Data vertical as a distinct function that works in a dotted-line matrix with the AI vertical.

The role owns the data foundation that enables analytics, operational integration, automation, and AI readiness, including governed data products, reusable pipelines, consistent metrics, metadata, lineage, quality, classification, and access controls. The successful candidate is a leader who balances long-term strategy with near-term execution and builds practical governance that enables the business rather than slowing it down. Success in this role will be measured by Flexential's ability to leverage trusted, governed, and reusable data assets through self-service analytics, automation, and emerging AI capabilities that drive measurable business outcomes.

Key Responsibilities and Essential Job Functions
  • Develop, maintain, and execute the enterprise data strategy and multi-year roadmap aligned to Flexential priorities, measurable business outcomes, and AI readiness requirements.
  • Lead the evolution of Flexential's data capabilities from report-centric delivery toward governed data products, trusted enterprise metrics, reusable business capabilities, self-service analytics, automation, and emerging AI enablement that improve operational efficiency, accelerate decision-making, and deliver measurable business value.
  • Establish a clear operating model for the Data organization, including decision rights, service ownership, delivery intake, prioritization, capacity planning, and engagement with business and technology teams.
  • Translate enterprise priorities into a sequenced portfolio of data platform, integration, governance, and data product initiatives, with clear outcomes, owners, dependencies, and measures of value.
  • Guide investment and rationalization decisions across the data ecosystem, favoring reuse, platform standards, and incremental modernization over unnecessary tool proliferation or wholesale replacement.
  • Partner with the AI vertical to identify the minimum viable governed data needed for priority AI use cases and sequence data work according to business value and readiness.
  • Collaborate with Enterprise Architects to ensure enterprise data architecture, integrations, models, and governance standards align with Flexential’s broader technology strategy and future‑state architecture.
  • Own the future‑state enterprise data architecture and the standards that govern how data is sourced, moved, stored, transformed, secured, documented, and consumed.
  • Provide architectural leadership across the SQL Server‑based Enterprise Data Warehouse (EDW) and Operational Data Store (ODS), including landing, staging, dimensional, fact, reporting, and operational schemas.
  • Establish and enforce data modeling, schema design, master and reference data, data lifecycle, interoperability, performance, reliability, and scalability standards.
  • Define authoritative systems of record and approved patterns for analytical, operational, and third‑party data exchange.
  • Ensure architecture decisions support governed data products, reusable semantic layers, historical analysis, operational reporting, automation, and AI consumption.
  • Lead the design, delivery, operation, and continuous improvement of enterprise data pipelines, APIs, integrations,…
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