Systems, Data, & AI Manager - Social Impact

Overview

The PepsiCo Social Impact team is seeking a Systems, Data, & AI Lead to transform how the function manages data, systems, reporting, and insights across its global Social Impact work. This role will lead the development of a scalable, integrated, and AI-enabled data ecosystem that improves decision-making, reduces manual work, strengthens accountability, and enables more effective storytelling around PepsiCo’s global social impact.

The role will be responsible for advancing the systems roadmap, strengthening standard reporting, improving data governance, and identifying opportunities to embed AI and automation into everyday work.

This role will partner closely with Foundation leadership, Social Impact teams, IT, Finance, market teams, and external vendors to create a more connected, efficient, and insight-driven operating model.

Responsibilities

• Develop and execute a multi-year roadmap for data, systems, reporting, and AI capabilities.
• Lead efforts to simplify, standardize, and automate data collection and reporting across global Social Impact programs.
• Partner with IT and business stakeholders to design an integrated data ecosystem across Foundation systems, dashboards, financial data, impact data, employee engagement data, and partner/program data.
• Support the ongoing evolution of the Global Social Impact Dashboard and related data portals.
• Lead the assessment and optimization of grantmaking systems, including current-state analysis, future-state requirements, reporting needs, integration opportunities, and vendor/system strategy.
• Build standard reporting that provides leadership and program owners with consistent visibility into investment, impact, operations, employee engagement, and risk.
• Establish data governance standards, data ownership, data quality expectations, reporting calendars, and validation processes.
• Identify and implement practical AI use cases across reporting, grantmaking, operations, data quality, impact measurement, employee engagement, and storytelling.
• Develop executive-ready insights that connect investment, activity, outcomes, reputation, and strategic priorities.
• Partner with stakeholders to improve system adoption, reporting discipline, and data-driven decision-making.
• Support audit readiness, access management, documentation, and control-related reporting for Foundation systems.

Compensation and Benefits:

• The expected compensation range for this position is between $93,500 - $156,450.
• Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
• Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually.
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
• In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Qualifications

Required Qualifications

• 5+ years of experience in data analytics, business intelligence, systems management, digital transformation, operations, or related fields.
• Demonstrated experience leveraging data, technology, and business processes to improve organizational effectiveness, decision-making, and operational outcomes.
• Strong understanding of reporting, dashboard development, data governance, data quality management, and process improvement methodologies.
• Experience gathering business requirements and translating them into scalable data, reporting, system, or technology solutions.
• Proven ability to lead cross-functional projects involving multiple stakeholders, processes, systems, and external partners.
• Strong analytical and problem-solving skills, with the ability to identify trends, diagnose root causes, and develop practical recommendations.
• Experience developing and managing reporting solutions, data visualizations, performance metrics, and self-service analytics capabilities.
• Ability to communicate complex technical concepts to non-technical audiences and influence decision-making at all levels of the organization.
• Experience identifying opportu…