IT Senior Manager, Data Engineering & Governance

CosmoProf•Plano, TX

1d•Hybrid

About The Position

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

Actively write, review, and optimize production-grade code (PySpark, SQL) to build scalable data pipelines, data architectures, and delta tables.
Architect and manage robust ELT/ETL processes within Azure Data Factory and optimize cloud data structures within Azure Databricks (Delta Lake, Unity Catalog).
Develop and govern semantic data models, advanced DAX queries, and enterprise-grade Power BI dashboards to deliver complex insights directly to business units.
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.
Guide SMEs and business stakeholders in identifying business needs and developing problem statements, business rules, and metrics for strategic Data & AI initiatives.
Manage a high-performing team of data engineers and analysts, balancing resource allocation, mentoring technical growth, and overseeing daily Agile delivery.
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.
Assist leadership with building business cases, tracking budget-versus-actuals, and preparing for funding approvals and various stage-gating processes.
Ensure requirements are met throughout the project lifecycle process and keep stakeholders apprised of changes to scope.
Create strong partnerships with key leaders throughout the enterprise (e.g., Digital, Solutions Delivery, Finance, Infrastructure & Ops) to identify SMEs and project customers.
Drive the internal adoption of modernized modern data warehouse concepts and maintain alignment between technical output and retail business goals.