People Analytics Lead - North America

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It Possible.

Forward-thinking companies are tapping into the vast stores of data at their disposal to develop and grow one of their greatest assets – their people. People Analytics is transforming how we work in HR by bringing together perspectives from statistics, generative AI, data and computer science, marketing research, economics, psychology, and sociology.

Our group is where you get to learn from authorities in the field, work with an interdisciplinary and international team of colleagues, and use your past experiences and knowledge to contribute in novel ways to help Mondelez build a work environment where talent thrives.

You will have opportunities to work with our best-in-class team in projects using LLMs, model in Python, have a say in designing our DataBricks/PySpark ecosystem for people data, and visualizing your analysis with Power BI, Jupyter Notebooks, and even LaTeX.

The People Analytics Senior Manager is part of the Global People Insights and Analytics group within Mondelēz. You will be responsible for consulting and delivering on people analytics services and solutions that inform talent decisions across key capabilities such as retail, R&D, distribution, supply chain, manufacturing and corporate functions in our North American (NA) Region. You will partner with our NA senior leaders to deliver data insights and analytics and help shape, advance and progress NA’s People Strategy.

To accomplish this, we expect that you grow and nurture key relationships with our NA teams, regions, cross-functional stakeholders, business leaders and HR colleagues across the globe. You should expect to work in a matrixed environment where close-collaboration and partnerships are keys to success.

Accountabilities:

• Consult with senior business leaders, HR COEs and HR field teams to provide data insights that inform our talent strategy, engagement practices, and inclusion programs.

• Partner with team’s analysts to drive analytical projects and deliver actionable insights. Conduct advanced statistical analysis, data modeling, and predictive analytics to identify trends, patterns, and correlations within the workforce data. Deliver insights with data storytelling visualizations.

• Deliver talent insights through applications of pay & labor market analysis, organizational network analysis, sentiment analysis, and time series forecasting applied in strategic workforce planning.

• Participate in executing a global workforce analytics strategic roadmap to globally operationalize and scale our workforce analytics capabilities to support business leaders and our HR community.

• Stay updated on industry best practices and emerging trends in workforce analytics, recommending innovative solutions to enhance data-driven decision-making.

Qualifications / Requirements

• Bachelor's degree in Statistics, Business Analytics, Data Science, Computer Science or a related Technology/Quantitative field. Master’s or PhD a plus.

• Proven experience (5-10 years) in workforce analytics, people analytics, or a similar role, with relevant experiences in data engineering, data analysis, statistical modeling (multi-variate statistical modeling, including approaches like linear and logistic regression, tree-based modelling), prompt engineering, LLM applications and data visualization principles.

• Strong knowledge of scope of work around data engineering, data modeling with statistical techniques, analytics use-case development, utilization of various business tools supporting the analytics domain.

• Proficient with programming languages used in data ingestion, manipulation, preparation, and statistical modeling (Python or R preferred), presentation tools (e.g., Power BI, Tableau).

• Proficient in applying generative AI techniques, including prompt engineering, to solve for use-cases in people analytics. Experience building people analytics applications using open-source LLMs is a significant plus.

• Working with a global team in multiple time zones, savvy, and comfort in working with remote team productivity tools such as Miro, Mural, Figma, JIRA, Monday, or Trello.

• Familiarity of Lean Six Sigma principles along with Kanban / Agile / Scrum Methodology a plus.

• Strong business acumen and understanding of talent practices and processes.

• Exceptional communication skills, with the data story telling ability to present complex data and insights in a clear and concise manner to business audiences.

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