Sally Beauty

Innovation Manager

Sally Beauty

full-time

Posted on:

Location Type: Hybrid

Location: Plano • Texas • 🇺🇸 United States

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Job Level

SeniorLead

Tech Stack

Azure

About the role

  • Shepherd Leadership, SMEs, and business stakeholders in identifying business needs and developing problem statements, business rules, and metrics for strategic Data & AI initiatives.
  • Define and manage the overall scope of an initiative and gain appropriate signoff from affected stakeholders.
  • Lead the definition of high-level requirements and work across IT and vendor partners to develop timelines and cost estimates for projects.
  • Play an active role during the project delivery cycle, which may involve direct project/program management or oversight.
  • Collaborate with data scientists, engineers, and product managers to develop AI/ML models, data pipelines, and scalable data architectures.

Requirements

  • Bachelor's or Master's degree in Data Science, Computer Science, or a related field, or an equivalent combination of experience, education, and training.
  • 8+ years of experience in a combination of data engineering, data reporting, advanced analytics, and project management.
  • Experience with a modern data stack including Databricks, Power BI, Azure Data Factory, and data governance frameworks.
  • A proven track record of managing 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 projects life cycle processes and delivery.
  • Experience in gaining group consensus and prioritization.
Benefits
  • Hybrid work arrangement
  • Opportunities for international travel
  • Professional development
  • Employee discounts on beauty products

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringdata reportingadvanced analyticsproject managementAI/ML modelsdata pipelinesdata architecturesdata governance frameworksexecutive-level presentationsdata projects life cycle
Soft skills
leadershipcollaborationcommunicationproblem-solvingstakeholder managementconsensus buildingprioritization