DICK'S Sporting Goods

Architect

• The Domain Architect – TIMO is responsible for creating, governing, and evolving target-state architecture models and integration designs that enable enterprise integration.
• Interpret, apply, and maintain technology architecture and its component models to guide business transformation initiatives.
• Develop and maintain target-state architecture blueprints across business processes, data, applications, and platforms.
• Model and assess current-state architectures and define transition states aligned to integration priorities.
• Recommend and participate in the development of integration patterns, architecture standards, and design guardrails.
• Research and evaluate technology solutions to meet business capability and integration requirements.
• Partner with product, engineering, and portfolio teams to translate architecture into executable plans.
• Lead, coach, and develop Solution Architects embedded in Business Capability Enablement teams.

Domain Architect – Technology Integration Management

Product Manager

• Define and maintain a Digital Fraud product roadmap that aligns to business outcomes, portfolio priorities, fraud-risk reduction, conversion protection, and trusted Athlete experiences.
• Lead discovery and solutioning for fraud capabilities such as pre-authorization fraud checks, post-order decisioning, device fingerprinting, reject/recycle, chargeback automation, fraud data foundations, and fraud lifecycle improvements.
• Translate business needs from Digital Loss Prevention, Payments, eCommerce, Mobile App, Treasury, Sales Audit, Store Ops, Loyalty, and other partners into clear product outcomes, user stories, acceptance criteria, and delivery plans.
• Own KPI definition and measurement for the product domain, including fraud loss, cancel and chargeback trends, accept/reject/manual-review performance, demand-to-fulfillment impact, SLA/SLO considerations, false positives, operational friction, and customer experience impacts.
• Partner with other Product Managers, Engineering, Architecture, Data Product, Analytics, and Reliability partners to improve observability, monitoring, automated testing, system resiliency, and data-driven decisioning.
• Collaborate with vendors and internal platform teams to evaluate, pilot, implement, and continuously optimize fraud and risk capabilities while managing dependencies, contracts, and delivery risks.
• Design and evaluate controlled experiments, A/B tests, and phased rollouts to measure fraud performance, conversion impacts, and operational outcomes.
• Improve upstream engagement so Digital Fraud is included early in planning for new experiences, payment methods, loyalty programs, fulfillment changes, and AI/agentic commerce opportunities.
• Monitor fraud, retail, digital commerce, and payment trends to proactively identify emerging risk patterns and shape product strategy before issues become reactive operational escalations.
• Participate in fraud-related incident response, major issue management, and post-incident reviews.

Product Manager II – Digital Fraud

Events

• Lead all loss prevention, safety, and profit protection responsibilities across the store field organization
• Provide strategic direction to reduce shrink and total loss
• Recruit, develop, and coach Regional Loss Prevention Managers
• Partner with field and corporate leaders to build capability through training and investigations
• Conduct people reviews at regular intervals to understand performance levels of field teams
• Participate in the strategic planning and development of shrink reduction and profit maximization strategies
• Monitor industry trends and look for new solutions and technology to drive efficiency
• Ensure implementation of Shrink Action Plans across regional levels

Director of Field Loss Prevention

Director

• Define the Dick’s Media audience strategy in partnership with the enterprise audience team, including segmentation frameworks, activation principles, and governance models.
• Establish a clear audience roadmap aligned to advertiser needs, platform capabilities, and long‑term retail media growth.
• Partner with Product, Engineering, and Data Science teams to translate audience strategy into prioritized platform initiatives.
• Set standards for audience taxonomy, definitions, and usage across managed service and self‑service environments.
• Serve as a strategic advisor to Sales and GTM teams on audience positioning and value narratives.
• Set the data collaboration strategy and use cases for retail media, including clean rooms and privacy‑safe data sharing models.
• Partner with Legal, Privacy, Security, and Engineering teams to ensure collaboration frameworks meet regulatory and governance standards.
• Own the measurement philosophy and roadmap for Dick’s Media, spanning brand insights, campaign performance, incrementality, and effectiveness.
• Define measurement standards across sales, ROAS, conversion metrics, incrementality and lift methodologies, and audience‑level insights and diagnostics.
• Partner with Analytics, Finance, and Data Science teams to align on measurement frameworks and metric definitions, ensure methodological consistency and governance, and deliver advertiser‑facing credibility and transparency.
• Guide the evolution of closed‑loop measurement, multi‑touch attribution and life time value methodologies using first‑party retail data, without directly executing analyses.
• Set the strategic vision for end‑to‑end retail media tooling and automation, spanning campaign planning, inventory management, activation workflows, measurement, and reporting.

Director, Audiences, Data & Measurement

Data Scientist

• Design and implement machine learning models for search and recommendation systems, including ranking, retrieval, personalization, and query understanding
• Build ranking and recommendation models using user behavior, embeddings, content signals, and contextual features
• Develop personalization systems that tailor results based on user behavior, preferences, and contextual signals
• Collaborate with data and search engineers to build scalable data pipelines supporting search and recommendation systems
• Partner with software engineers to integrate ML models into production services via APIs
• Design and execute A/B tests to evaluate model performance and business impact
• Monitor offline and online metrics to identify opportunities for improving relevance, ranking, and engagement
• Apply modern ML and GenAI techniques to improve search and discovery experiences
• Contribute to best practices in modeling, experimentation, and production ML systems

Senior Data Scientist, Search & Recommendations

Full-stack Engineer

• Work collaboratively with designers, product managers, testers and other engineers
• Leverage cutting-edge technologies and modern practices
• Build and ship high-quality code at a rapid pace
• Monitor, identify, and correct more complex software defects
• Produce multiple concepts and prototypes to design digital products/services
• Research and suggest ways to optimize solutions
• Drive maintenance road map for software development

Senior Software Engineer – Mobile iOS

Art Director

• Lead Product Management for Supply Chain technology
• Own and evolve core systems for supply chain execution
• Partner with Supply Chain Operations, Engineering, Merchandising, and vendors
• Align product delivery with operational calendars
• Establish and manage KPIs aligned to execution performance
• Advocate for internal operational users
• Drive continuous improvement of end-to-end process flows
• Build and lead a high-performing team of Product Managers

Product & Design Director – Supply Chain

• Own the product vision, strategy, and roadmap for marketing and media analytics, aligned to enterprise priorities and marketing outcomes.
• Partner across marketing, media, analytics, finance, data science, and engineering to identify high-value opportunities and translate them into clear product direction.
• Lead products and capabilities across campaign measurement, attribution, incrementality, audience analytics, forecasting, experimentation, performance reporting, and optimization.
• Shape a clear point of view on KPI frameworks, measurement design, data quality, governance, and how analytics should inform investment decisions.
• Work closely with engineering and data teams to define data requirements, instrumentation, model dependencies, and scalable platform capabilities.
• Evaluate external platforms and partners across the martech, adtech, identity, and data collaboration ecosystem, and help drive build, buy, or partner decisions.
• Define success metrics, drive adoption, and measure impact through business outcomes including efficiency, speed to insight, and return on media investment.
• Communicate strategy, tradeoffs, progress, and outcomes clearly to senior leaders and cross-functional stakeholders.

Senior Product Manager – Marketing & Media Analytics

• Define and operationalize metrics for customer activation across channels
• Extend measurement across the full lifecycle, including retention, loyalty, and reactivation
• Identify friction points in the activation and lifecycle funnels and provide data-driven recommendations to improve conversion and engagement
• Partner with CRM and loyalty teams to measure and optimize campaigns across email, SMS, push, and owned channels
• Develop reporting and insights on customer lifetime value (CLV), retention, churn, and loyalty program performance
• Lead the development of advanced customer segmentation frameworks based on behavioral, transactional, and demographic data
• Build and oversee propensity models to drive targeted activation and engagement strategies
• Partner with data engineering and identity teams to develop a unified customer view using first-party data

Director – Athlete Activation Data & Analytics

Supply Chain

• Builds and learns to design and test best in class solutions.
• Performs business analysis and software analysis with some supervision.
• May coordinate initiatives with limited complexity.
• Supports initiatives that ensure enterprise systems remain best-in-class.
• Works within a Supply Chain technology team supporting warehouse and fulfillment systems.
• Engineers contribute to API development, message-based processing, and cloud-native services.

Software Engineer II – Supply Chain

• Build and evolve scalable enterprise solutions
• Collaborate with product, engineering, and business stakeholders
• Analyze complex problems and improve platforms

Software Engineer II – Athlete Order

Data Engineer

• Build High-Quality Pipelines
• Develop reliable data pipelines using SQL, Python, Databricks/Spark.
• Improve and modernize existing pipelines for clarity, performance, and maintainability.
• Add tests, documentation, lineage, and observability to strengthen trust.
• Model Data Across Many Systems
• Translate complex, multi-source schemas into clear conceptual and physical models.
• Handle grain alignment, key logic, and definition clarity with care.
• Design models that scale and reduce friction for analysts, product, and downstream users.
• Protect Customer Data
• Apply disciplined data hygiene and privacy-first patterns.
• Safely move and store sensitive customer data in compliance with organizational standards.
• Collaborate Across the Field
• Partner with analysts, product managers, marketing teams, data scientists, vendor teams, and other engineers.
• Communicate assumptions, trade-offs, and decision points clearly.
• Bring clarity to ambiguous problems and help guide the team toward the best path forward.
• Lift the Team
• Share knowledge, document meaningfully, and help strengthen team patterns.
• Support teammates through code reviews, pairing, and problem-solving.
• Use AI-assisted tools to accelerate documentation, test generation, and iteration.

Senior Data Engineer – Athlete

Account Manager

• Responsible for Executing Media Plans for Vendors by Coordinating all Internal Processes from Pre-Sale to Activation through Post Launch.
• Support the Partner Manager by regularly engaging with non-endemic brands and their agency partners to understand broader marketing objectives (e.g., awareness, consideration, acquisition) and how these translate into retail media strategies.
• Navigate ambiguity and evolving client needs by proactively identifying opportunities, shaping strategic approaches, and driving implementation across internal (planning, media buying, measurement, creative, and monetization) and external teams to deliver effective campaigns.
• Provide proactive, client-friendly communication to advertisers/agencies on campaign progress, translating retail media performance into insights aligned with non-endemic KPIs and expectations.
• Manage campaign process end-to-end, including advertiser onboarding, asset collection, timeline management, and adherence to workflows and approval processes.

Account Manager, Non-Endemic

• Responsible for Building Vendor Relationships through the use of the Dick’s Retail Media Network
• Manage high-volume accounts, exceeding sales quotas and growing your own book of business
• Provide and present digital post-campaign reports
• Collaborate with internal planning, measurement, operations, creative, and product/technology teams to ensure timely delivery of solutions

Partner Manager

• Own a comprehensive portfolio responsible for delivering a seamless, end‑to‑end in‑store checkout experience
• Define and maintain clear functional and non‑functional product artifacts.
• Help orchestrate an integrated checkout ecosystem.
• Define and establish a comprehensive vision, strategy and roadmap for your product.
• Set goals based on outcomes and measure progress towards those goals.
• Manage the backlog.
• Create effective user stories as well as lead backlog prioritization and management.