Data Engineering Manager - Real-Time Analytics & Innovation

Join the Team That's Revolutionizing Sports Retail with Data-Driven Solutions

At DICK'S Sporting Goods, we're on a mission to change lives through sports. Founded in 1948, we've grown from a small bait-and-tackle shop to a leading omnichannel retailer with over 850 locations, representing multiple brands such as DICK'S, House of Sport, Golf Galaxy, Public Lands, and more. Our relentless focus on inspiring, supporting, and equipping athletes and outdoor enthusiasts has enabled us to become a $13B company. Now, we're looking to take it to the next level by building the ultimate Sports Retail Media network, and we need a talented Data Engineering Manager to lead the charge.

Job Purpose

We're seeking an exceptional Data Engineering Manager - Real-Time Analytics to lead the development and maintenance of best-in-class solutions for our assigned product group. As a key member of our team, you'll be responsible for ensuring delivery, team talent management, and road mapping. If you're a seasoned data engineering leader with a passion for innovation and a track record of driving business growth through data-driven solutions, we want to hear from you.

Key Responsibilities

• Data-Driven Product and Service Improvement: Develop data-driven analyses to surface new opportunities to differentiate and improve products and user experiences, ensuring consistency across digital products, services, and channels.
• Digital Strategy/Transformational Projects Execution: Manage and deliver end-to-end digital programs and initiatives, leveraging agile and design-thinking principles to drive sustainable implementation.
• Digital Talent Development: Develop digital training and development programs to meet identified needs; run leadership development programs to enable personal transformations on digital.
• Digital Vision and Strategy: Conceptualize elements of digital strategy/digital-enabled business change projects. Develop approaches to programmatically deliver successful digital innovation engagements.
• Project Management: Manage a portfolio of projects while reporting to senior colleagues.
• Quality: Develop new methods, tools, and programs for quality assurance. Lead developmental initiatives or programs within an area of expertise.
• Budgeting: Contribute to the development of budget plans and/or deliver budget plans with guidance from senior teammates.
• Information Security: Lead in detecting and analyzing cybersecurity incidents including attacks, breaches, and identified vulnerabilities and remediate any security gaps in line with the security incident management procedure.
• Leadership and Direction: Communicate the actions needed to implement the function's strategy and business plan within the team; explain the relationship to the broader organization's mission, vision, and values; motivate people to commit to these and to doing extraordinary things to achieve local business goals.
• Organizational Capability Building: Use the organization's formal development framework to identify the team's individual development needs. Plan and implement actions, including continuing professional development specified by professional or regulatory institutions, to build their professional capabilities.
• Performance Management: Manage and report on the performance of a substantial, diverse team; set appropriate performance objectives for direct reports or project/account team members and hold them accountable for achieving these; take appropriate corrective action where necessary to ensure the achievement of team/personal objectives.

Behavioral Competencies

We believe that our company's success depends on the skills, abilities, and behaviors of our employees. As a Data Engineering Manager, you'll be expected to demonstrate the following competencies:

• Drives Engagement: Creates a climate where people are motivated to do their best to help the organization achieve its objectives.
• Strategic Mindset: Sees ahead to future possibilities and translates them into breakthrough strategies.
• Decision Quality: Makes good and timely decisions that keep the organization moving forward.
• Courage: Steps up to address difficult issues, saying what needs to be said.
• Collaborates: Builds partnerships and works collaboratively with others to meet shared objectives.
• Customer Focus: Builds strong customer relationships and delivers customer-centric solutions.
• Action Oriented: Takes on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Builds Effective Teams: Builds strong-identity teams that apply their diverse skills and perspectives to achieve common goals.
• Develops Talent: Develops people to meet both their career goals and the organization's goals.
• Instills Trust: Gains the confidence and trust of others through honesty, integrity, and authenticity.
• Tech Savvy: Anticipates and adopts innovations in business-building digital and technology applications.

Technical Skills

To succeed in this role, you'll need:

• Experience in customer data and analytics: Omni-channel identity resolution, data science models geared towards activating personalization campaigns.
• Wide and deep experience providing direction and guidance in data engineering.
• Experience with data engineering tools: 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.