Manager Data & AI Platform Engineer [T500-25147]

ANSR is hiring for one of its clients.

ABOUT UNDER ARMOUR:

Our story is a classic American entrepreneurial journey, born from a simple, unmet need identified by an athlete. In 1996, founder Kevin Plank, then captain of the University of Maryland football team, set out to solve the problem of sweat-soaked cotton shirts by creating a moisture-wicking synthetic alternative. That innovation HeatGear redefined the athletic base layer and laid the foundation for what is today a global leader in performance apparel, footwear, and accessories.

Headquartered in Baltimore, Maryland, Under Armour is driven by a clear mission to make all athletes better. This relentless pursuit of better defines who we are, shaping our focus on performance, innovation, and continuous improvement.

OUR PURPOSE:

• Building on this global foundation, Under Armour India is purpose-built to access Indias top-tier talent and embed the brands culture into scalable, tech-driven solutions. At its core, this is about empowering those who strive for more a belief reflected in our values: Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes, and Stand for Equality.
• These values serve as a shared framework that guides how we think, build, and collaborate. They connect teams across geographies, reinforce our purpose, and ensure that everything we do is aligned to a common goal enabling better outcomes for athletes and the business.
• At Under Armour India, this translates into an environment where individuals have the freedom to go further, regardless of role. Teams are empowered to develop and deliver state-of-the-art products and digital solutions that enhance performance and drive impact at scale.

VALUES & INNOVATION:

• Across Under Armour globally, our values act as the thread that unites every teammate, shaping a culture grounded in purpose, accountability, and shared ambition. They are not just principles, but active drivers of how we operate, innovate, and grow together.
• This culture is deeply anchored in innovation a continuous pursuit of better that pushes boundaries and challenges convention. Whether through product innovation or digital transformation, teams are enabled to create solutions that elevate performance and redefine possibilities for athletes everywhere.

PURPOSE OF ROLE:

• The Engineering Manager, Data & AI Platform leads data platform engineering delivery within UAI, ensuring platform capabilities are designed, built, optimized, and operated with the highest standards of scalability, reliability, security, and AI readiness.
• This role sets and reinforces technical expectations while directly contributing to the design and development of enterprise data solutions. It ensures engineering output aligns with enterprise architectural guardrails, governance standards, and long-term platform strategy. Operating with strong collaboration across the Enterprise Data Management and Analytics towers and in close partnership with Global IT, Privacy and Security teams, this role strengthens alignment between platform engineering, analytics enablement, AI innovation, and enterprise technology operations.
• By integrating technical leadership with people development and operational oversight, this role advances engineering maturity, modernizes platform capabilities, and ensures durable, high-performing data products that power analytics, automation, and intelligent decision-making across the organization. is a technical leader within EDMA responsible for architecting and scaling enterprise data products that enable strategic decision-making. This role defines engineering and data modeling standards, drives platform modernization, and leads complex cross-functional initiatives across the Decision Products ecosystem

YOUR IMPACT (Job Responsibilities):

• Lead, mentor, and grow data platform engineers while reinforcing high performance, high-quality engineering culture.
• Ensure alignment to enterprise engineering principles, platform governance, architectural guardrails, and security standards.
• Drive scalable ingestion, transformation, and integration patterns using Snowflake, dbt, AWS, Airflow, Fivetran, and related ecosystem tools.
• Uphold data, analytic modeling, and semantic layer standards across all enterprise domains.
• Guide engineers through complex architecture decisions, production issues, and workload optimization.
• Strengthen CI/CD, automated testing, observability, data quality, monitoring, alerting, and version control practices.
• Oversee release/change management, SLA/SLO adherence, and production stability across platform products.
• Optimize compute, storage, performance, and cost efficiency in partnership with security and FinOps.
• Lead cross-functional initiatives across Product, Platform, AI, Automation, Governance, and Global IT while shaping long term roadmap direction.
• Support sprint execution, remove delivery risks, oversee on-call processes and issue escalation processes, and promote responsible GenAI assisted engineering practices.

QUALIFICATIONS:

• Bachelors degree in Computer Science, Information Systems, or closely related technical field followed by 8 years of progressively responsible data and/or software engineering experience, including demonstrated leadership and management responsibilities OR Masters degree in Computer Science, Information Systems, or closely related technical field and 6 years of progressively responsible data and/or software engineering experience, including demonstrated leadership and management responsibilities.
• Typically, 1 - 3 years of management experience; or equivalent experience as the subject matter lead or expert in area of expertise.
• Demonstrated experience leading engineering teams while maintaining strong technical credibility with a strong ability to communicate complex topics to all levels
• Deep expertise in Snowflake and modern data integration patterns and architectures
• Strong experience and understanding of AWS and its cloud services, security and architecture is preferred.
• Advanced SQL and Python programming skills
• Hands on Experience on Apache Airflow is mandatory.
• Strong understanding of data replication patterns, database design and data storage formats
• Experience integrating SAP, Salesforce, 3rd Party and other global enterprise platforms
• Proven CI/CD and DevOps implementation experience
• Strong understanding and adherence of security-by-design and privacy-by-design principles
• Experience enabling AI/ML or GenAI-ready data platforms.

WORKPLACE LOCATION:

Location: This individual must reside within commuting distance from our office.

Work Schedule: This role follows a hybrid work schedule, requiring 4 days in-office per week.

OUR COMMITMENT TO EQUAL OPPORTUNITY:

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. Reasonable accommodations are available for applicants with disabilities upon request.