NIKE, Inc

Senior Data Modeler - MAC BI, Activity Intelligence

NIKE, Inc • $120K — $145K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, data science, data analytics, or related field; equivalent experience accepted
  • 5+ years of data modeling experience for large-scale data platforms
  • Deep expertise in dimensional modeling, Data Vault, or medallion architectures
  • Production experience with multi-source data harmonization
  • Advanced SQL and data profiling skills
  • Experience producing Source-to-Target Mappings
  • Strong collaboration skills with engineering and analytics teams

Responsibilities

  • Design the unified athlete profile data model from multiple wearable device streams
  • Model the coaching intelligence data layer for structured and unstructured inputs
  • Design the NSRL-to-athlete data model for sport science constructs
  • Own the Bronze/Silver/Gold medallion layer design for the Activity domain
  • Produce Source-to-Target Mappings for all Activity data sources
  • Handle modeling complexity of multi-vendor device data
  • Define data quality rules and establish the Activity data dictionary

Benefits

  • Opportunity to work with cutting-edge AI technology
  • Collaborative environment with a diverse team across global locations
  • Access to Nike's extensive resources and data platforms
  • Engagement in meaningful projects that impact athletes' performance
  • Potential for professional growth within a leading global brand
Full Job Description
WHO YOU'LL WORK WITH

MAC BI is the business intelligence function for Nike's Marketing, Activity, and Converse organizations. We own the data pipelines, reporting platforms, and AI-powered insights that inform how Nike spends its marketing budget, understands its competitive position, listens to its consumers, and coaches its athletes. We're a team of engineers, analysts, and data scientists distributed across Beaverton and Bangalore, operating under Marketing Technology & Converse.

This role will report to the Director of Marketing BI.

WHO WE ARE LOOKING FOR

Nike is transforming its digital activity platforms (Nike Run Club, Nike Training Club) into AI-powered coaching experiences - and MAC BI is building the data and intelligence foundation that makes it possible. This role designs the data models that make it all work.

You'll own the logical and physical data architecture for the Activity domain - defining how wearable device streams from Garmin, Apple Watch, and COROS become a unified athlete profile, how structured training inputs (goals, baselines, injury history) merge with unstructured coaching data (notes, feedback, RPE), and how Nike Sport Research Lab's sport science models connect to production coaching recommendations. The models you design will be the contract between raw device data and the AI Coaching Engine that serves every athlete on the platform.

Must Have
  • Bachelor's degree in computer science, data science, data analytics, or a related field. Will accept any suitable combination of education, experience or training
  • 5+ years of data modeling experience across analytical and operational data systems, with significant experience designing models for large-scale data platforms (Databricks, Snowflake, BigQuery, or equivalent)
  • Deep expertise in dimensional modeling, Data Vault, or medallion architectures - you have strong opinions on when to use star schemas vs. wide tables vs. normalized structures, and you can justify those opinions with performance and usability tradeoffs
  • Production experience designing models for multi-source data harmonization - you've solved the problem of taking data from multiple vendors/systems with different schemas and creating a unified, consistent representation that downstream consumers can trust
  • Advanced SQL and data profiling skills - you can explore a new source system, understand its structure, identify quality issues, and design a target model in the same sitting
  • Experience producing Source-to-Target Mappings - you've documented complete transformation paths from source to consumption layer and worked with engineers to implement them
  • Strong collaboration skills with both engineering and analytics - your models need to be buildable by engineers and usable by analysts; you can speak both languages


Strong Preference
  • Experience with IoT, wearable, or sensor data modeling - time-series schemas for device streams, handling irregular sampling rates, modeling device-specific metadata alongside measurement data
  • Experience with health, fitness, or sport science data - athlete profiles, training load constructs, physiological measurements, or coaching/training plan structures
  • Familiarity with Databricks/Spark physical design considerations - Delta Lake partitioning strategies, Z-ordering, liquid clustering, table optimization for both batch and interactive query patterns
  • Experience with schema evolution and versioning strategies - managing model changes in production without breaking downstream consumers
  • Comfort with async collaboration across time zones - clear documentation, self-explanatory model diagrams, and proactive communication


Nice to Have
  • Familiarity with Nike's internal data platforms (Sole, Databricks on Nike infra)
  • Personal background in endurance sports, coaching, or sport science (you understand the domain because you've lived it)
  • Experience with data privacy modeling for health/fitness data (PII handling, consent-based access patterns)
  • Experience modeling for ML/AI consumption - feature stores, training datasets, or model input/output schemas


WHAT YOU'LL WORK ON

Data Architecture & Modeling
  • Design the unified athlete profile data model - the canonical schema that harmonizes wearable device streams (heart rate, pace, cadence, elevation, sleep, HRV, VO2max, body battery/recovery) from multiple vendors into a single, query-optimized representation on Databricks/Sole
  • Model the coaching intelligence data layer - defining how structured inputs (intake questionnaires, training goals, fitness baselines, injury/pain history) and unstructured inputs (coach notes, athlete feedback, session RPE) are organized, linked, and exposed for consumption by the AI Coaching Engine and coaching dashboards
  • Design the NSRL-to-athlete data model - the schema that translates Nike Sport Research Lab's sport science constructs (Horwill's predictors, Daniels VDOT, Acute Chronic Workload Ratio, training periodization models) into production-ready data structures that coaching algorithms can consume at scale
  • Own the Bronze/Silver/Gold medallion layer design for the Activity domain - defining the transformation contracts, grain, and business rules at each layer within the MAC BI standardized pipeline template


Source-to-Target Mapping & Integration
  • Produce Source-to-Target Mappings (STMs) for all Activity data sources - documenting the complete transformation path from raw device vendor schemas through to Gold-layer consumption models
  • Handle the modeling complexity of multi-vendor device data - resolving schema conflicts, mapping equivalent metrics across devices (e.g., Garmin Body Battery vs. Apple Watch recovery estimates vs. COROS stamina), defining rules for when sources overlap or conflict
  • Design data contracts between the Activity data foundation and downstream consumers - defining the API schemas, refresh cadences, SLAs, and versioning strategy that NRC/NTC product teams, the AI Coaching Engine, and coaching staff tools depend on
  • Model race and sport experience data - training plan structures, race-specific schemas (5K through ultra), in-race coaching signal formats, and post-race performance analysis structures across NRC marathon programs


Data Quality & Governance
  • Define data quality rules at the model level - embedding Spark Expectations checks, referential integrity constraints, and business rule validations directly into the model design so quality is structural, not an afterthought
  • Establish the Activity data dictionary and catalog - authoritative definitions for every entity, attribute, metric, and relationship in the Activity domain, maintained as a living artifact that evolves with the platform
  • Own the schema evolution strategy - how do the models handle new device vendors, new sensor types, new sport science models, and new coaching features without breaking existing consumers?
  • Partner with data analysts to validate that model designs support the analytical use cases - ensuring the metric layer, dashboards, and ad-hoc analyses can be served efficiently from the physical model


What Success Looks Like (First 12 Months)
  • The unified athlete profile model is in production - wearable device data from multiple vendors flows through a single, well-documented schema that downstream systems depend on
  • Source-to-Target Mappings are complete for all Activity data sources and actively used by engineers building pipelines
  • The coaching intelligence data model supports both the AI Coaching Engine and coaching dashboards without requiring separate transformations for each consumer
  • The Activity data dictionary is established and adopted as the single source of truth for what the data means
  • Schema evolution processes you designed have handled at least one new device vendor or sensor type without breaking existing consumers
  • Data quality rules embedded in the model catch issues at ingestion time, not after they reach dashboards


About NIKE, Inc

Nike is a sporting goods company that designs, develops, and markets footwear, apparel, equipment, and accessory products. The company offers various categories of shoes including running, training, basketball, soccer, sport-inspired urban shoes, and kids' shoes. It also provides shoes for aquatic activities, baseball, football, cheerleading, golf, lacrosse, outdoor activities, skateboarding, tennis, volleyball, walking, wrestling, and various athletic and recreational uses. In addition, the company offers sports-inspired lifestyle apparel, athletic bags, and accessory items. Further, it provides a line of performance equipment including bags, socks, sports balls, eyewear, timepieces, electronic devices, bats, gloves, protective equipment, golf clubs, and various equipment designed for sports activities under the NIKE brand name, as well as markets apparel with licensed college and professional team and league logos. Additionally, it offers licenses to produce and sell NIKE brand swimwear, children's apparel, training equipment, eyewear, electronic devices, and golf accessories. The company also markets its products under the brand names of Converse, Chuck Taylor, All Star, One Star, Umbro, Jack Purcell, Cole Haan, Bragano, and Hurley. It sells its products to retail accounts through stores, independent distributors, and licensees, as well as through its Website, nikestore.com. As of May 31, 2009, Nike, Inc. operated 338 retail stores in the United States and 336 retail stores internationally. The company was founded in 1964 and is headquartered in Beaverton, Oregon.

Nike Careers

Join the dynamic world of Nike, Inc., a global leader in sports apparel and innovation, where your career can flourish in an environment that fosters diversity, leadership, and growth. At Nike, we believe in bringing out the best in our team members through continuous professional development and a culture that celebrates creativity and innovation. Work You’ll Do Become a part of Nike’s mission to inspire and innovate towards a better world. Engage in work that intersects with cutting-edge technology, market-leading strategies, and sustainable practices that define the future of the sports industry. Lead with us at the forefront of the global marketplace, where your skills in leadership, teamwork, and innovation can shine. Nike offers a unique position in the industry, combining deep industry expertise with a relentless pursuit of excellence. Collaborate with a diverse team of professionals who are pioneers in their fields. Nike, Inc. employs over 75,000 passionate and talented individuals worldwide, all dedicated to moving the world of sports forward. Introducing Nike’s Professional Growth and Development Opportunities We are committed to fostering an inclusive environment where every team member can succeed. Nike offers a variety of job opportunities, from in-store retail positions to corporate roles in design, marketing, and technology. Do Innovative Work Join us and contribute to our mission of bringing inspiration and innovation to every athlete* in the world. (*If you have a body, you are an athlete.) Deliver targeted solutions and drive innovation through your unique perspective and skills. At Nike, Inc., your work directly contributes to our global impact. Be Part of a Great Team Engage in meaningful work that connects with consumers and impacts millions worldwide. Our team benefits from unparalleled capabilities, a commitment to diversity training, and a culture that encourages professional growth and networking. Future-Proof Your Career Advance your career with Nike’s comprehensive benefits and support systems. We provide extensive training, development programs, and leadership courses to help you reach your full potential. Explore Discover how Nike is leading in sustainable innovation and pushing the boundaries of what’s possible in the sports industry. The Nike Employment Experience Our combined efforts in innovation, culture, and leadership make Nike, Inc. not just a place to work, but a place to grow a rewarding career. Clients and employees alike look to Nike for new strategies and impactful solutions in a rapidly evolving industry. Stay Connected Join Our Team Search for open positions that match your skills and interests. We are always on the lookout for curious, driven, creative, and solution-oriented team players. SEARCH NIKE JOBS Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. READ CAREERS BLOG Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding opportunities that await at Nike, Inc.
Learn more about NIKE, Inc
Size
73,300 employees
Market Cap
$184.6 billion
Industry
Net Income
$2.8 billion
Founded
1964
5 Year Trend
+6.3%
Revenue
$38.2 billion
NASDAQ

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