Senior Director, Data and Analytics

Under Armour India

Bangalore, Karnataka
Permanent
Full-time

14 days ago
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About Under Armour IndiaWe have expanded our global footprint with Under Armour India, a strategic capability hub in Bengaluru, designed to strengthen our global operations and accelerate innovation.Here, we enable athletes’ digital journeys with tech solutions they never knew they needed and can’t imagine living without. Our teams drive products from conceptualization to production, with a strong focus on consumer engagement and retail store experience.We combine art and technology with the athletes’ world of performance, sport, and fitness—working with the latest technologies across platforms.Job DescriptionPURPOSE OF ROLEThe Senior Director, Data & Analytics (AI), is an AI first technical leader within EDMA responsible to lead Under Armour India (UAI) Data & AI as a high-performing product + platform capability hub. This role oversees the four UAI Capability Sr. Managers (Decision Products, Data Platform, Data Governance, AI & Automation), sets the UAI operating system, and ensures delivery excellence, low attrition, and measurable business outcomes. The role is solid-line reporting local UAI Site Leader for day-to-day operations & dotted-line to the Chief Data & AI Officer (CDAIO) at USHQ to align to enterprise strategy, governance, and investment priorities.YOUR IMPACT (Job Responsibilities)

UAI leadership & operating model
Lead the UAI Data & AI organization and establish a clear operating system: priorities, cadences, performance management, and cross-capability alignment.
Ensure squads are consistently staffed and enabled by the capability model (skills readiness, standards, reusable assets).
Oversight of 4 Capability Sr. Managers
Set clear goals and accountability for each capability leader (Decision Products, Platform, Governance, AI & Automation).
Drive integrated planning across capabilities to prevent bottlenecks (e.g., platform readiness, governance gates, AI enablement).
Coach leaders on talent systems, technical excellence, and stakeholder influence in a matrixed environment.
Strategy alignment (solid-line reporting local UAI Site Leader &dotted-line to CDAIO / USHQ)
Translate enterprise Data & AI strategy into UAI capability roadmaps and quarterly plans.
Ensure UAI standards align to USHQ COEs (architecture, security, governance, AI policy) and that adoption is measurable.
Provide a structured feedback loop to USHQ on constraints, risks, and opportunities to accelerate enterprise outcomes.
Talent + retention system
Own the UAI talent flywheel: hiring bar, leveling, learning plans, rotations, recognition, and regrettable attrition prevention.
Build leadership routines that sustain engagement and growth (career conversations, mentoring, performance calibration).
Delivery enablement & quality
Ensure consistent engineering rigor across squads through capability standards: CI/CD and quality gates, reliability practices, and operational readiness.
Establish delivery transparency across the portfolio: outcome tracking, dependency management, and escalation pathways.
Governance, risk, and reliability
Ensure UAI delivery meets enterprise requirements for security, privacy, auditability, and model risk controls.
Drive reliability and incident management disciplines (SLOs, MTTR reduction, post-incident learning).
Vendor / GCC contract performance
Manage delivery health expectations and continuity mechanisms (key-role coverage, backfill readiness, capability stability).
Ensure outcomes and quality expectations are met, not just staffing levels.

QUALIFICATIONS:

Bachelor's degree with typically 15 years leading data/analytics/AI/platform organizations or Master's degree with typically 13 years of relevant experience or typically 19 years of relevant experience without degree
Typically, 8+ years of management experience, with 5+ years leading leaders (managers of managers).
Proven experience operating a product + platform model across multiple capability areas (platform, analytics/decision products, governance, AI/automation).
Strong technical depth in modern data platforms and engineering operating practices (CI/CD, reliability, observability, security-by-design).
Demonstrated ability to scale talent in India (hiring bar, leveling, career paths, retention systems, and leadership routines).
Experience working in matrixed global organizations with dotted-line enterprise alignment and multiple stakeholder groups.
Strong executive communication skills: ability to translate strategy into operating plans and provide crisp, metrics-driven updates to senior leadership.

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 OPPORTUNITYAt 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.

Under Armour India