Note: The job is a remote job and is open to candidates in USA. Krispy Krunchy Foods is using AI-enabled, data-driven business programs to improve operator performance, customer experience, and business growth. The Program Manager will advance four strategic programs—operator profitability, pricing and promotion optimization, site scoring, and NPS and sentiment analytics—from foundational capabilities to mature, scalable systems. The role will coordinate cross-functional teams, develop analytics-driven insights, manage risks, support adoption, and deliver executive-level reporting and recommendations.
Responsibilities
- Lead the advancement of four strategic programs through defined maturity stages, progressing from Foundational to Capable and ultimately Compounding by achieving established stage-gate criteria, performance metrics, and program milestones
- Design, develop, and implement AI/ML-driven analytics solutions to support business decision-making, including operator profitability analysis, pricing and promotion effectiveness, churn prediction, and sentiment/theme analysis of customer and operator feedback
- Partner with Data Engineering and Technology teams to enhance and expand enterprise data capabilities across multiple platforms and data sources, including Snowflake, Salesforce, distributor and order management systems, Learning Management Systems (LMS), and field operations data
- Establish, monitor, and communicate key business performance indicators, driving data-informed actions that improve organizational outcomes such as same-store sales growth, operator retention, revenue per location, and Net Promoter Score (NPS)
- Collaborate closely with cross-functional leaders across Operations, Finance, Strategy, Marketing, and Technology to align business objectives, prioritize initiatives, and deliver measurable program results
- Develop and deliver recurring executive-level reporting, insights, and presentations, including quarterly business reviews, NPS analyses, pricing and promotion performance assessments, Monthly Business Reviews (MBRs), and Board-level materials, supported by compelling data visualizations and strategic recommendations
- Proactively identify, assess, and mitigate program risks, dependencies, and obstacles, driving resolution plans and escalating issues as necessary to maintain program momentum
- Facilitate alignment and decision-making among stakeholders with diverse objectives, balancing competing priorities to achieve enterprise-wide goals
- Support organizational change management efforts related to program implementation and adoption, including stakeholder communications, training strategies, field team enablement, and accountability frameworks
- Establish scalable governance practices, reporting structures, and operating rhythms that align with each program’s stage of maturity while maintaining a focus on agility, efficiency, and business value
Skills
- Bachelor's degree in Business Administration, Analytics, Engineering, Information Technology, or a related field — or equivalent practical experience
- 5+ years in program or project management, ideally including experience with data, analytics, or AI-enabled initiatives rather than pure process/PMO work
- Demonstrated, hands-on fluency with AI tools (e.g., Claude) applied to real analytical work product, not familiarity alone. Candidates should be able to speak to a specific instance of using AI to produce an analysis, report, or decision input
- Comfort owning ambiguous, foundational-stage programs. This is a 0-to-1 and 1-to-scale role, not steady-state program governance
- Strong cross-functional stakeholder management skills, particularly with field/operations teams who are not direct reports
- Excellent written and verbal communication; this role produces executive-facing outputs directly rather than through an intermediary analyst
- Experience with retail, foodservice, franchise, or multi-location operator networks is a plus
- Familiarity with a modern data/BI stack (e.g., Snowflake or similar) and a CRM (e.g., Salesforce or similar) is preferred
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