Senior Manager, Digital Analytics

Marriott•Bethesda, MD

3d•Hybrid

About The Position

The Senior Manager, Digital Analytics is a senior individual contributor within Marriott’s Enterprise Data, Analytics & AI organization, responsible for shaping how analytics informs digital product strategy and investment decisions. This role partners closely with Digital Product, Technology, and Engineering leaders to understand business goals, define success metrics, and proactively guide analytical focus toward the highest-impact opportunities. Acting as a trusted strategic advisor, the Senior Manager moves beyond reporting to frame ambiguous problems, assess tradeoffs, and translate data into clear, executive-ready recommendations. Success in this role requires strong technical analytics expertise combined with exceptional executive communication and the ability to influence product direction through insight, storytelling, and informed judgment.

Requirements

Bachelor’s degree in Business, Analytics, Statistics, Economics, or related field
6+ years of experience in analytics, business intelligence, or data-driven strategy roles
Demonstrated experience supporting customer-facing digital products, platforms, or technology-enabled experiences.
Proven ability to operate as a senior individual contributor with functional leadership responsibility
Proficiency with analytics and data tools (e.g., SQL, Snowflake, Adobe Analytics, BI platforms such as Tableau)
Strong written and verbal communication skills, including experience influencing senior stakeholders
Demonstrated ability to proactively identify business and product questions and shape analytical agendas
Experience partnering closely with engineering or platform teams on data-informed strategy

Nice To Haves

Experience applying statistical methods (e.g., hypothesis testing, segmentation, regression, trend analysis) to business problem solving
Hands-on experience using Python and/or R to support analysis and insight generation
Experience supporting experimentation, causal analysis, or test-and-learn measurement
Familiarity with digital data instrumentation, data quality, and platform measurement considerations

Responsibilities

Use analytics to inform digital product strategy and roadmap prioritization, including where to invest, what to optimize, and what to deprioritize
Act as a trusted advisor to Digital Product and Technology leaders, helping frame strategic questions and evaluate options using data
Provide insight into customer behavior, platform performance, and experience outcomes to support product planning and sequencing decisions
Translate analytical findings into strategic implications, not just metrics or observations, to drive business decisions
Serve as the functional analytics lead supporting digital products, platforms, and technology initiatives
Define KPIs, success metrics, and analytical frameworks aligned to product goals, platform health, and experience outcomes
Proactively identify trends, risks, and opportunities that warrant strategic or roadmap consideration
Own and optimize performance of direct digital channels (web and app), evaluating results in the context of demand patterns, traveler intent, market conditions, and portfolio dynamics to drive traffic quality, conversion and revenue.
Lead optimization of digital experience across the customer journey, improving booking conversion, engagement, merchandising effectiveness, and other key commercial outcomes.
Assess how digital engagement shapes acquisition, loyalty progression, and retention; translate insights into strategies that increase long-term customer value and overall business contribution.
Conduct deep-dive analyses across web, mobile, and account-based experiences, including funnels, journeys, lifecycle, and platform performance
Partner with Product, Technology, and Engineering teams to assess feature launches, platform enhancements, and technical changes
Support experimentation and test-and-learn efforts, including A/B testing and incremental impact analysis where applicable
Ensure analytical rigor, consistency of metrics, and clarity of assumptions across strategic initiatives
Synthesize complex analyses into clear, strategic narratives tailored for product, technology, and senior leadership audiences
Develop executive-ready materials that connect insights to decisions, tradeoffs, and recommended actions
Use storytelling to drive alignment and momentum, not just awareness
Collaborate with Data Engineering, BI, and Analytics teams to ensure reliable data pipelines, shared definitions, and scalable insights
Influence without authority by building credibility and strong working relationships across product and engineering organizations
Contribute to analytics best practices, documentation, and improved data literacy across the enterprise