[Hiring] Engineering Manager - Merchandising Technology @DICK'S Sporting Goods

Role Description

Leads the development and maintenance of best-in-class solutions for assigned product group. Includes systems analysis and development. Primarily responsible for ensuring delivery, team talent management and roadmapping.

As a Software Engineering Manager for Merchandising Technology, you will lead a dynamic team of software engineers, focused on delivering impactful solutions for Merchandise Planning at DICK’S Sporting Goods. Your role is central to the “Inventory 360” initiative, where you will guide the discovery, design, build, deployment, and ongoing support of both custom software and packaged/SaaS solutions.

• Work closely with product management, the i360 activation squad, and the architecture team to transform inventory planning and purchasing processes.
• Oversee team development, talent management, and implement best practices to drive impactful results for Athletes and Teammates.

Expanded Job Responsibilities

• Provide mentorship and coaching for software engineers, fostering professional growth and a culture of innovation.
• Set clear goals and objectives for your teams, ensuring alignment with business priorities and the i360 initiative.
• Drive the end-to-end delivery of technology solutions—from initial exploration and requirements gathering to design, development, testing, deployment, and support.
• Collaborate extensively with cross-functional partners including product managers, activation squads, architects, and stakeholders to define roadmaps and deliver exceptional results.
• Champion agile methodologies, facilitating ceremonies and promoting best practices for iterative development and rapid feedback.
• Balance development across custom software, packaged software, and SaaS tools, selecting the right approach for each challenge.
• Ensure high quality, reliability, and scalability in all delivered systems supporting merchandising and inventory planning.
• Monitor and improve team performance, workflow, and morale, adapting to new challenges and evolving business needs.
• Stay current with emerging technologies and industry trends, recommending strategic improvements to keep DICK’S at the forefront of retail innovation.
• Advocate for and facilitate a diverse, inclusive, and collaborative working environment that empowers every teammate.

Tech Stack

• Angular frontend
• .NET Core backend APIs
• Azure Kubernetes Service (AKS)
• Azure SQL Server
• RabbitMQ for async processing
• MassTransit (messaging abstraction)
• AgGrid (licensed UI grid)

Behavioral Competencies

• Drives Engagement
• Strategic Mindset
• Decision Quality
• Courage
• Collaborates
• Customer Focus
• Action Oriented
• Builds Effective Teams
• Develops Talent
• Instills Trust
• Tech Savvy

Technical Skills

• Experience in retail technology.
• Wide and deep experience providing direction and guidance in data engineering.
• Experience with data engineering tools such as Google Big Query, Snowflake and Databricks.
• Experience with modeling complex data.
• Experience leading data engineering teams as a manager.
• Experience of planning and managing resources to deliver predetermined objectives.
• Experience leading teams of contractors in an onshore/offshore engagement.
• Experience managing, mentoring, and growing the careers of data engineers.

Qualifications

• Master's Degree or Equivalent Level Preferred
• 6 to 10+ years experience
• 1 to 3 years experience supervising and directing people and other resources to achieve specific end results within limited timeframes

Virtual Requirements

• Cameras must be on during all virtual interviews.
• AI tools are not permitted to be used by the candidate during any part of the interview process.
• Offers are contingent upon a satisfactory background check which may include ID verification.

Targeted Pay Range

$95,200.00 - $158,800.00. This is part of a competitive total rewards package that could include other components such as: incentive, equity and benefits. Individual pay is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations.