Senior IT Manager, Data Engineering – Governance

Sally Beauty

Senior Manager overseeing data engineering and AI initiatives at Sally Beauty. Leading a high-performing team and driving impactful data solutions.

Posted 6/12/2026full-timePlano • Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudETLPySparkSparkSQLUnity

About the role

Key responsibilities & impact

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 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.

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Data Science, Data Engineering, or a related field
8+ years of experience in data engineering, data reporting, advanced analytics, and project management
3+ years of direct people management or technical team leadership experience
Advanced, hands-on experience with Databricks (Spark, Delta Lake), Power BI, and Azure Data Factory (ADF)
Demonstrated knowledge and experience in applying data engineering and AI to retail environment
Proven track record of managing and contributing code to complex data and AI programs
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.

Benefits

Comp & perks

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 corporate campus
merchandise discount at onsite store

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PySparkSQLELTETLAzure Data FactoryAzure DatabricksDAXPower BIAI/MLdata architectures

Soft Skills

leadershipteam managementmentoringcommunicationcollaborationproblem-solvingstakeholder managementresource allocationchange managementcross-functional alignment