Senior Director, Data Enablement

Dave & Buster's•Coppell, TX

4d•$127,800 - $170,000

About The Position

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.

Requirements

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.

Nice To Haves

Experience with cloud ecosystems (e.g., Snowflake, Databricks, BigQuery, 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.

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.