Dick's Sporting Goods Logo

Dick's Sporting Goods

Sr. Director, AI Strategy and Operations

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in United States
154K-285K Annually
Senior level
Remote
Hiring Remotely in United States
154K-285K Annually
Senior level
Leads enterprise AI strategy and operations by building AI product portfolios, agentic workflows, copilots, intelligent applications, and human-AI experiences. Partners with executives, engineering, data science, security, and business teams to prioritize opportunities, establish roadmaps, redesign workflows, drive adoption, govern AI initiatives, and measure business value. Builds and leads AI product management teams while overseeing organizational change and cross-functional portfolio governance.
The summary above was generated by AI

At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams.  We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.

If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today!

OVERVIEW:

Senior Director, AI Strategy & Operations is accountable for translating AI strategy into scaled business impact by designing AI-powered products, agentic workflows, and human centered experiences that transform how the enterprise operates. This role bridges business strategy and AI execution while partnering with functional leaders, technology leaders, data science and analytics teams, and operational stakeholders to deliver measurable business value.

Enterprise AI Product Strategy

• Define and lead the enterprise AI product portfolio across business functions, corporate services, media, and athlete performance businesses.

• Partner with strategy and functional executives to identify, prioritize, and deliver high-value AI opportunities.

• Establish product roadmaps for AI-powered experiences, copilots, intelligent applications, and autonomous agents.

• Align AI investments to enterprise strategy, governance requirements, and measurable business outcomes.

• Develop product success metrics, adoption targets, and value realization frameworks.

Agentic Operations & Workflow Transformation

• Lead the design of next-generation operating models that integrate AI agents into business processes and workflows.

• Partner with business leaders to redesign workflows for human-AI collaboration, including agentic operating processes that augment or automate work through intelligent agents.

• Establish standards and methodologies for agent orchestration and human-agent interaction models.

AI Product Management & Design

• Build and lead a team of AI Product Managers responsible for translating business opportunities into scalable AI solutions.

• Establish product management practices tailored to AI and agentic systems.

• Partner with product prioritization, roadmap management, requirement definition, and stakeholder alignment.

• Partner with AI engineering, data science, platform, security, and architecture teams to deliver products from concept through deployment.

• Lead multidisciplinary design work for intuitive AI experiences, conversational experiences, agent interactions, and AI-enabled workflows.

• Create repeatable design patterns for copilots, agents, and human-AI workflow integration.

Adoption, Change Management & Cross-Functional Leadership

• Establish frameworks to measure utilization, engagement, productivity gains, business outcomes, and financial returns.

• Partner with HR, Communications, Learning, and functional leadership teams to drive organizational adoption.

• Build feedback mechanisms to continuously improve AI products and experiences.

• Serve as the primary liaison between business leaders and AI delivery teams.

• Facilitate alignment across strategy, technology, operations, data, governance, risk, and change management functions.

• Support executive steering committees and portfolio governance processes.

QUALIFICATIONS:

  • 15+ years of leadership experience spanning product management, operations, strategy, digital transformation, consulting, analytics, or technology leadership.

  • Demonstrated success driving enterprise-scale transformation and AI-enabled business outcomes.

  • Experience leading AI, Generative AI, Machine Learning, Agentic AI, Automation, or Digital Product organizations.

  • Experience designing enterprise workflows and operating models, and building or scaling AI-enabled products and services.

  • Experience in retail, media, consumer, technology, sports, healthcare, financial services, or similarly complex enterprises preferred.

  • Familiarity with Responsible AI, governance frameworks, and AI risk management.

  • AI, Generative AI, Machine Learning, Agentic AI, Automation, and Digital Product leadership.

  • AI-powered products, copilots, intelligent applications, autonomous agents, and agentic business workflows.

  • Knowledge fabric, AI models, AI-enabled workflows, agent orchestration, and human-agent interaction models.

  • Ability to partner with AI engineering, data science, platform, security, and architecture teams from concept through deployment.

  • Standards for conversational experiences, agent interactions, AI-enabled workflows, and repeatable design patterns for human-AI workflow integration.

  • Frameworks to measure AI utilization, engagement, productivity gains, business outcomes, financial returns, user satisfaction, operational efficiency, and time-to-value.

  • Strategic thinking with the ability to connect AI opportunities to enterprise value creation and long-term business strategy.

  • Systems thinking with the ability to redesign end-to-end workflows that combine people, process, technology, and AI agents.

  • Product leadership with the ability to build and scale AI product portfolios that drive measurable outcomes.

  • Human-centered design with the ability to design trusted and impactful experiences that maximize human and AI collaboration.

  • Organizational influence and change leadership with the ability to drive alignment across diverse stakeholders, competing priorities, and transformative initiatives.

VIRTUAL REQUIREMENTS:

At DICK’S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use AI tools (like ChatGPT or others) during interviews or assessments.

To ensure a smooth and secure experience, please note the following:

  • 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.

If you have any questions or need accommodations, we’re here to help. Thanks for helping us keep the process fair and secure for everyone!


Targeted Pay Range: $153,700.00 - $285,300.00. 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. We review all teammate pay regularly to ensure competitive and equitable pay.DICK'S Sporting Goods complies with all state paid leave requirements. We also offer a generous suite of benefits. To learn more, visit www.benefityourliferesources.com.

Similar Jobs

One Month Ago
Remote
United States
Senior level
Senior level
Software • Conversational AI • Generative AI
Lead strategy and execution for customer operations across Success, Support, Services, and Marketing Ops. Define operating model, systems and data architecture, AI and automation roadmap, cross-functional workflows, reporting, and change management to scale consistent, measurable customer lifecycle operations. Partner with Product, Engineering, IT and go-to-market teams and build a high-performing operations organization focused on automation impact, operational discipline, and measurable business outcomes.
Top Skills: Bi/Reporting ToolsClayGainsightGleanJIRASalesforceThoughtspotWorkflow Automation Systems
8 Minutes Ago
Remote or Hybrid
115K-165K Annually
Senior level
115K-165K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop and operate CI/CD, build, integration, validation, and release workflows for autonomous driving and ADAS software. Lead scalable cross-team technical initiatives, improve pipeline reliability and observability, establish engineering best practices, contribute to designs and code reviews, mentor engineers, and support technical recruiting. The role focuses on enabling safe, high-quality software delivery for Super Cruise and other autonomous driving systems.
Top Skills: Adaptive AutosarBazelBuildkiteCanClangCmakeCpputestDockerEthernetGccGithub ActionsGoogletestJenkinsLinNvccPythonQccQnx Os
16 Minutes Ago
Remote or Hybrid
United States
Entry level
Entry level
Fintech • Software
Supports a portfolio of clients through proactive communication, issue resolution, onboarding, adoption campaigns, renewals, training coordination, and self-service enablement. Maintains CRM records, monitors client engagement and utilization, identifies retention or growth risks, and collaborates with internal teams to deliver consistent service. The role follows established playbooks while supporting high-volume client portfolios and peak-season financial reporting and proxy services.
Top Skills: Crm PlatformsExcelMS OfficeMicrosoft WordSaaS

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account