Sr. Manager, Talent Analytics

Marriott•Bethesda, MD

8d•$110,400 - $177,000•Hybrid

About The Position

Marriott, the world’s largest hotel company, is seeking a Talent Analytics leader to help enhance its HR Analytics capabilities through the delivery of scalable analytics products and actionable workforce insights that support global HR decision-making. As part of a highly visible team, this position plays a dual role—leading the development of analytics products while also conducting and translating people analytics research into clear, compelling stories that drive business action. The Senior Manager, Talent Analytics leads the end-to-end delivery of analytics products, translating prioritized business needs into scalable, high-quality solutions. In parallel, the role partners with stakeholders to frame business questions, conduct workforce analyses and research, and communicate findings through executive-ready narratives and recommendations. Working closely with Analytics Research, Data Engineering, and Global Technology teams, this position ensures products and insights are delivered efficiently, meet business requirements, and remain sustainable over time. It also plays a critical role in shaping HR analytics strategy, advancing modern product-based analytics, and fostering a culture of data-driven decision-making across a diverse, global HR stakeholder community.

Requirements

Bachelor’s degree in a quantitative or business discipline required
5+ years of relevant experience in analytics, strategy, consulting, or product management, with increasing leadership responsibility (for candidates with a bachelor’s degree) OR 2+ years of relevant experience with an advanced degree
5+ years experience developing data visualizations using tools such as Tableau, Power BI, or Oracle Data Visualization
5+ years experience building custom analytics applications (Oracle APEX, Oracle Visual Builder Studio or similar platforms)
5+ years of SQL/data querying experience
Advanced SQL and experience querying and manipulating large-scale datasets
Experience building custom analytics applications; Oracle APEX, Oracle Visual Builder Studio or similar platforms a strong plus
Front-end development skills, including HTML and CSS
Advanced data visualization development experience using tools such as Tableau, Power BI, or Oracle Data Visualization
Strong data analysis capabilities, including structuring complex analyses across large and diverse datasets
Experience with UI/UX design principles for analytics products and user interfaces
Familiarity with cloud-based analytics and data modeling tools (e.g., Oracle Cloud Infrastructure, semantic modeling tools)
Experience with programming languages for data analysis (e.g., Python, R, or SAS) a plus
Experience building front-end interfaces and custom user experiences for analytics products
Ability to synthesize quantitative and qualitative findings into concise business insights and executive communications.
Ability to balance hands-on development with product leadership, selectively contributing to build efforts using low-code tools where speed and iteration are critical
Strong product delivery and execution mindset
Ability to translate business needs into technical solutions
Experience with analytics tools, data modeling, and reporting platforms
Strong project management and organizational skills
Effective communicator across technical and non-technical audiences
Experience communicating analytical findings through presentations, visualizations, and business narratives tailored to diverse audiences
Knowledge of people analytics research methods, including hypothesis development, study design, statistical analysis, and interpretation of findings.

Nice To Haves

Advanced degree
1–3 years of HTML/CSS experience
Experience managing delivery of analytics or data products at enterprise scale across global, matrixed organizations
Experience working with cross-functional teams (product, engineering, business stakeholders)
Experience managing or influencing cross-functional teams delivering analytics or data products

Responsibilities

Lead end-to-end execution of analytics product builds (dashboards, data pipelines, applications, reporting tools)
Define and evolve the product roadmap for HR analytics solutions, aligning investments to business priorities and enterprise data strategy
Translate business requirements into clear technical specifications and delivery plans
Manage sprint execution, timelines, and delivery quality across multiple concurrent initiatives
Ensure solutions are scalable, performant, and aligned to enterprise standards
Design and develop analytics applications using low-code platforms (e.g., Oracle APEX, Visual Builder), including hands-on configuration and build of production-ready solutions
Partner with engineering and product teams to build integrated front-end experiences across analytics and application layers
Drive best practices in UI/UX for analytics products, ensuring usability, accessibility, and consistency across platforms
Understand back-end solutions, including APIs, databases, and server-side scripting to be able to communicate requirements to the research team.
Develop and maintain application documentation, including flowcharts, layouts, diagrams, charts, code comments and clear code
Ensure application operability by troubleshooting and resolving software or implementation issues
Conceptualize, design and build data models for use by the broader analytics team, and key analytics HR super users.
Explain complex analytics to a broad audience with varying levels of technical background and understanding.
Partner with planning teams to articulate possible solutions to business problems and to develop requirements for new models
Partner closely with continent partners, HR leadership, and centers of excellence to understand prioritized demand and requirements
Identify and solve complex business challenges using data-driven approaches and scalable analytics solutions
Collaborate with data engineering and analytics teams to deliver integrated solutions
Serve as the bridge between technical teams and business stakeholders during execution
Lead change management efforts to drive adoption of modern analytics products, transitioning stakeholders from legacy reporting to scalable, self-service solutions
Influence and guide HR stakeholders in evolving how analytics is consumed, interpreted, and applied to decision-making
Ensure application performance, reliability, and scalability through structured testing (e.g., functional, performance, and user acceptance testing)
Ensure consistency in data definitions, calculations, and product design
Establish and uphold standards for analytics product quality, usability, and performance
Ensure clear documentation of analytics products, including data definitions, logic, and user workflows to support adoption and sustainability
Write, update, and maintain technical requirements. These technical requirements should be able to be easily understood and translated into code by technical resources that are not in attendance at business facing calls.
Optimize delivery processes, including agile workflows, sprint planning, and release management
Identify opportunities to streamline development and reduce redundancy across products
Manage dependencies across projects and teams
Develop executive-ready presentations, visualizations, and communications that connect data insights to business outcomes and talent strategies.
Partner with HR leaders, Centers of Excellence, and business stakeholders to frame analytical findings in ways that influence decisions and drive action.
Lead and support people analytics research initiatives, including workforce studies, talent assessments, program evaluations, benchmarking, and ad hoc strategic analyses.
Apply research methodologies to identify trends, uncover root causes, and generate actionable insights from large and complex workforce datasets.