Jobs and Careers

IT Senior Manager, Data Engineering & Governance

Sally Beauty

United Statesfull_timeVerifiedPosted 11 Jun 2026

About the role

Senior Manager, Data Engineering & Governance

This position is hybrid working from our Legacy West Support Center located in Plano, Texas

About Sally Beauty Holdings, Inc.

At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling and distributing professional beauty supplies across 11 countries through our Sally Beauty and Beauty Systems Group businesses. Sally Beauty offers products for hair color, hair care, nails, and skin care to retail customers looking for salon quality products at a value price. Beauty Systems Group, branded as Cosmo Prof or Armstrong McCall stores, along with its direct sales consultants, sell professionally branded products intended for use and resale by salons to retail consumers.

About the role

The Senior Manager, Data Engineering & Business Intelligence, is a hybrid player-coach role instrumental in taking new ideas in the data and artificial intelligence (AI) landscape and cultivating them into positive business outcomes. This role helps create a culture of innovation by shaping the processes needed for forward movement across the enterprise. The ideal candidate blends high-level project discovery and team leadership with hands-on technical execution. They possess strong business knowledge in a retail environment working across multiple business models (B2B, B2C, E-commerce, and brick & mortar). The candidate must have a solid, practical background in the Data and BI space – specifically spanning hands-on data engineering, data reporting, analytics, and data governance.

Responsibilities

Tech Delivery & Hands-On Engineering

Hands-on Development: Actively write, review, and optimize production-grade code (PySpark, SQL) to build scalable data pipelines, data architectures, and delta tables.
Pipeline & Architecture Management: Architect and manage robust ELT/ETL processes within Azure Data Factory and optimize cloud data structures within Azure Databricks (Delta Lake, Unity Catalog).
BI Infrastructure: Develop and govern semantic data models, advanced DAX queries, and enterprise-grade Power BI dashboards to deliver complex insights directly to business units.
Technical Oversight: Supervise and directly contribute to the development of AI/ML models, data pipelines, and scalable data architectures, collaborating with data scientists, engineers, and product managers.

Project Discovery & Team Management

Shepherd Leadership: Guide SMEs and business stakeholders in identifying business needs and developing problem statements, business rules, and metrics for strategic Data & AI initiatives.
Team & Workload Leadership: Manage a high-performing team of data engineers and analysts, balancing resource allocation, mentoring technical growth, and overseeing daily Agile delivery.
Scope & Estimation: Define and manage the overall scope of initiatives, gain appropriate signoff from stakeholders, and work across IT and vendor partners to develop timelines and cost estimates.
Business Case Building: Assist leadership with building business cases, tracking budget-versus-actuals, and preparing for funding approvals and various stage-gating processes.
Lifecycle Governance: Ensure requirements are met throughout the project lifecycle process and keep stakeholders apprised of changes to scope.

Stakeholder Collaboration & Partnerships

Cross-Functional Alignment: Create strong partnerships with key leaders throughout the enterprise (e.g., Digital, Solutions Delivery, Finance, Infrastructure & Ops) to identify SMEs and project customers.
Change Agent: Drive the internal adoption of modernized modern data warehouse concepts and maintain alignment between technical output and retail business goals.

Knowledge, skills & abilities requirements