Sr. Manager, Talent Analytics

JOB SUMMARY

Marriott the worlds 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 roleleading 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 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.

CANDIDATE PROFILE

Education and Experience

Required

Bachelors 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 bachelors 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

Preferred

Advanced degree

13 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

CORE WORK ACTIVITIES

1. Analytics Product Delivery

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

2. Analytics Development (UI & Semantic Layers)

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.

3. Cross-Functional Partnership & Requirements

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

4. Product Quality & Standards

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

5. Operational Excellence

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

6. Analytics Storytelling & Research

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.

Core Skills

Key Skills & Capabilities

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.

Technical Skills

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.

What Success Looks Like

Analytics products are delivered on time high quality and scalable

Research initiatives generate meaningful insights that shape talent programs workforce planning and organizational priorities.

Analytics products drive measurable adoption and enable self-service insights across the global HR community

Analytics products are easy to use and contain accurate relevant data for stakeholders to make timely data driven decisions

Stakeholders transition from manual and legacy reporting to scalable self-service analytics solutions

Stakeholders experience consistent reliable solutions

Delivery processes are efficient predictable and transparent

At Marriott International we are dedicated to being an equal opportunity employer welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and greatest strength lies in the rich blend of culture talent and experiences of our are committed to non-discrimination on any protected basis including disability veteran status or other basis protected by applicable law.