Dir Digital Product Analytics

J  o  b    D  e  s  c  r  i  p  t  i  o  n

Job Profile Title:

Dir Digital Product Analytics

Job Code:

12886

Business_Title

Dir Digital Product Analytics

Profile Title:

12886 Dir Digital Product Analytics

Grade / Band:

L3

FLSA Status:

Exempt

The Director of Digital Product Analytics is responsible for owning and advancing analytics across MGM Resorts' digital products, including web, mobile app, digital booking and eCommerce flows, digital check-in, digital key, chat bots, loyalty experiences, and other customer-facing digital capabilities. This role is accountable for translating customer interactions across digital touchpoints into actionable insights that improve product adoption, reduce friction, increase conversion, and drive digital revenue.

This leader will oversee both the measurement foundation (tagging, data structure, governance, and tooling) and the insight generation required to understand how customers engage with MGM's digital ecosystem. The Director leads a team of digital and product analysts while remaining hands-on, applying strong technical skills and deep digital analytics expertise to complex business problems.

Own digital product analytics across MGM’s web, app, and emerging digital experiences, including booking and eCommerce flows, product and property pages, loyalty enrollment and account management, digital check-in and digital key usage, app installs and engagement, and other self-service customer journeys; identify friction points, drop-offs, and behavioral patterns that impact conversion, usage, and customer satisfaction.

Lead and execute deep, hands-on analysis using digital analytics tools and raw data, leveraging platforms such as Adobe Analytics and related technologies while also directly querying data using SQL, Python, or similar languages to analyze large, complex datasets; translate findings into clear insights and recommendations for product, technology, and business partners.

Own the digital analytics instrumentation and data foundation, including tagging strategy and implementation for web and app experiences, event and data layer design, validation and QA processes, and ongoing data quality monitoring; ensure analytics data is reliable, scalable, and structured to support downstream reporting, experimentation, and data ingestion into enterprise data platforms.

Partner closely with Product, Technology, Data, and MarTech teams to design and evolve the digital analytics architecture, including analytics tool administration, data governance standards, identity considerations, and integrations with data warehouses and other analytics tools; influence platform and tooling decisions as digital products and customer needs evolve.

Establish and lead a robust digital experimentation and optimization capability, partnering with product and UX teams to develop hypotheses, define success metrics, ensure proper tracking and measurement for A/B and multivariate tests, analyze results, and create a repeatable learning loop

Evaluate and apply AI-enabled analytics and experimentation approaches (e.g., advanced behavioral analysis, anomaly detection, predictive insights, and automation) to accelerate learning, improve decision-making, and scale optimization across digital products.

Develop a deep understanding of customer segments and interaction patterns across digital touchpoints, differentiating how various customer types engage with MGM’s digital products; collaborate with product leaders, marketing, and customer teams to identify opportunities to increase digital adoption, improve conversion, grow digital revenue, and reduce customer friction.

Lead, mentor, and grow a team of digital and product analytics professionals, setting clear expectations for technical rigor, analytical depth, and business impact. Balance strategic leadership with hands-on contribution, ensuring the team delivers high-quality analysis, clear storytelling, and trusted insights that drive product and customer experience decisions.

Performs other job-related duties as requested

Proof of eligibility to work in the United States

Bachelor's Degree

Required

7+ Years of Prior Relevant Experience

In digital, product, or analytics roles, with demonstrated impact driving business performance through data-driven insights and optimization

Required

Experience leading and developing analytics teams, including setting analytical standards, prioritizing work, and balancing hands-on execution with strategic leadership.

Required

Strong hands-on experience writing and executing SQL and Python, and working with modern data platforms (e.g., Azure Databricks or similar).

Required

Experience with digital analytics and measurement tools, such as Adobe Analytics, Adobe Launch, Google Tag Manager, or equivalent platforms.

Required

Proven experience analyzing web and mobile app behavior, including funnels, conversion, engagement, adoption, and customer journeys across digital products.

Required

Experience designing, instrumenting, and analyzing A/B tests or experimentation programs, including defining success metrics and translating results into actionable recommendations.

Required

Strong understanding of digital measurement strategy, tagging and data layer design, data quality, and analytics governance.

Required

Experience using data visualization and storytelling tools (e.g., Tableau, Power BI) to communicate insights to technical and non-technical stakeholders.

Preferred

Strong analytical and financial acumen, with the ability to quantify business impact and influence decision-making.

Preferred

Strategic mindset with the ability to evaluate and apply emerging analytics and AI-enabled techniques to improve insight generation, experimentation velocity, and digital performance

Preferred

Strong interpersonal and effective listening skills.

Proven ability to drive business performance through operational insights and analytics.

Commitment to fostering cooperation and teamwork.

Ability to produce high quality work products, with consistency, accuracy and completeness

Balancing

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Bending

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Carrying 10 pounds

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Clear speech - simple

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Clear speech - complex

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Climbing

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Distant vision

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Driving

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Flexibility - upper body

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Flexibility - lower body

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Hearing/Listening

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Kneeling

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Lifting 10 pounds

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Near vision

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Normal vision

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Pushing/Pulling

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Reaching

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Sitting

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Standing

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Typing

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Walking

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Communication - verbal

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Communication - written

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Confined area

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Contacts - works alone

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Contacts - works around others

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Contacts - works with others

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Exposure to dust / dirt

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Exposure to fumes / odors

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Extreme cold

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Extreme heat

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Fast pace

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Hazardous conditions - chemicals

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Hazardous conditions - high structures

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Hazardous conditions - high voltage

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Indoors

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Noise levels - low to moderate

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Noise levels - high

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Office conditions

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Outdoors

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Restricted area

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Shifts

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Smoke

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Travel

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Wet/Humid

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Analytical

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Clerical

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Comprehension

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Crisis incidents

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Customer service

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Decision making

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High pressure

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Judgment

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Long hours

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Math skills - advance

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Math skills - basic

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Organization

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Reading - simple

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Reading - complex

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Repetition

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Tight deadlines

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Writing - simple

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Writing - complex

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