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Senior Director, Data Enablement

Job in Coppell, Dallas County, Texas, 75019, USA
Listing for: Dave & Buster's
Full Time position
Listed on 2026-02-10
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Science Manager, Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 127800 - 170000 USD Yearly USD 127800.00 170000.00 YEAR
Job Description & How to Apply Below
Senior Director, Data Enablement page is loaded## Senior Director, Data Enablementlocations:
Coppell, TX (Corporate) time type:
Full time posted on:
Posted Yesterday job requisition :
R-1010241
*
* Job Description:

** The Senior Director of Data Enablement is responsible for transforming data into a strategic asset by ensuring it is accessible, trusted, well-governed, and actionable across the enterprise. This leader bridges data engineering, analytics, business intelligence, and business teams to accelerate insight, decision-making, and value realization. The role focuses on enabling self-service analytics, modern data platforms, data literacy, and scalable operating models that drive measurable business outcomes.
** Key Responsibilities
**** Data Enablement Strategy & Leadership
*** Define and execute the enterprise data enablement strategy aligned to business priorities and digital transformation goals.
* Partner with executive leaders to translate business objectives into data capabilities, use cases, and roadmaps.
* Serve as a thought leader on modern data platforms, analytics, AI/ML readiness, and data-driven operating models.
** Platforms, Tools & Architecture
*** Oversee enablement of cloud data platforms, analytics tools, semantic layers, and data products that support self-service and advanced analytics.
* Collaborate with MSP Data Engineering and Architecture teams to ensure scalability, reliability, and performance of data ecosystems.
* Standardize tooling, patterns, and best practices to reduce complexity and accelerate time-to-insight.
** Self-Service Analytics & Adoption
*** Drive enterprise adoption of self-service BI and analytics by business users, analysts, and product teams.
* Establish metrics and KPIs to measure data adoption, usage, and business impact.
* Remove friction in data access while maintaining appropriate governance and controls.
** Data Governance, Quality & Trust
*** Partner with Data Governance, Security, and Legal leaders to ensure data quality, lineage, definitions, and compliance.
* Champion consistent business definitions, metrics, and master data to create a single source of truth.
* Embed data quality and observability into data products and pipelines.
** Data Literacy & Change Enablement
*** Lead data literacy programs, training, and enablement initiatives to elevate analytics maturity across the organization.
* Foster a culture of data-driven decision-making through coaching, communication, and executive storytelling.
* Support change management efforts tied to new tools, platforms, and ways of working.
** Operating Model & Team Leadership
*** Build and lead a high-performing Managed Service data enablement organization, including BI, analytics engineering, enablement, and platform adoption roles.
* Define engagement models with business units, product teams, and IT partners.
* Manage budgets, vendors, and partners to maximize value and ROI.
** Qualifications
* *** Required
* ** 10+ years of experience in data, analytics, BI, or data platform roles, with at least 3 years in senior leadership.
* Proven experience enabling enterprise self-service analytics and modern data platforms (cloud data warehouses, BI tools, semantic layers).
* Strong business acumen with a track record of translating data capabilities into measurable business outcomes.
* Experience leading cross-functional teams and influencing executive stakeholders.
* Deep understanding of data governance, data quality, and analytics operating models.
** Preferred
* ** Experience with cloud ecosystems (e.g., Snowflake, Databricks, Big Query, Redshift).
* Familiarity with BI and analytics tools (e.g., Tableau, Power BI, Looker).
* Experience supporting AI/ML, advanced analytics, or product analytics enablement.
* Background in large-scale digital or data transformation initiatives.
** What Success Looks Like
*** Business users confidently access and use trusted data to make faster, better decisions.
* Analytics adoption and data literacy measurably increase across the enterprise.
* Data platforms are scalable, standardized, and aligned to business value.
* Data is viewed as a strategic enabler—not a bottleneck.

Dave & Buster’s is an…
Position Requirements
10+ Years work experience
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