IT Senior Manager, Data Engineering & Governance

Sally Beauty Holdings • Plano, TX

1d • Hybrid

About The Position

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.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Data Engineering, or a related field, or an equivalent combination of experience, education, and training.
• Advanced, hands-on experience with a modern data stack including Databricks (Spark, Delta Lake), Power BI, and Azure Data Factory (ADF).
• 8+ years of experience in a combination of data engineering, data reporting, advanced analytics, and project management.
• 3+ years of direct people management or technical team leadership experience.
• Demonstrated knowledge and experience in applying data engineering and AI to business areas within a retail environment (E-commerce, supply chain, store ops, or B2B/B2C).
• A proven track record of managing and directly contributing code to complex data and AI programs across multiple business units.
• Skilled at creating executive-level presentations and summaries based on complex data insights.
• Demonstrated experience with Data project life cycle processes, execution of use cases, and business benefit capture.

Nice To Haves

• Keeps up with industry trends and knowledge in the Data & AI landscape.
• Proactively researches, codes, and solves complex data issues using data-driven insights.
• Builds strong relationships across IT and business units, seamlessly navigating internal politics and securing buy-in.
• Operates strategically with the unique ability to dive deeply into technical execution and raw code when necessary.
• Works with a brief list of assumptions and supports Sponsors to drive initiatives forward.
• Willingness to take the first steps, build initial technical proof-of-concepts, and deep dive into new data domains.

Responsibilities

• 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.
• 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.
• 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.

Benefits

• medical
• dental
• vision
• life Insurance
• paid vacation and sick days
• paid holidays
• tuition reimbursement
• 401(k) with company match
• in-house salon with complementary services
• varied selection of food options at our corporate campus
• Sally Beauty and CosmoProf Professional onsite store, where associates enjoy a great merchandise discount

What This Job Offers

• Job Type: Full-time
• Career Level: Senior