Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

JOB SUMMARY

The Manager, Advanced Analytics Translator is a key player in advancing Sysco’s Analytics & AI capabilities. In this role, you will translate complex business problems into analytics, AI, and decision intelligence solutions that drive measurable outcomes. You will collaborate with business stakeholders, Data Science, and Technology teams to define decisions, translate business needs into analytic requirements, guide solution development, and embed insights and recommendations into business workflows.

Key Responsibilities:

Translate business problems and decisions into analytic requirements, including objectives, success measures, constraints, rules, and actions, and guide model design for enterprise analytics use cases.

Partner with Business, Data Science, and Technology teams to design and deploy scalable predictive, prescriptive, optimization, and AI-driven solutions.

Conduct data exploration and preparation, identify relevant data sources, and support the integration of data required for analytics initiatives.

Design experimentation and measurement approaches, including baselines, KPIs, and feedback loops, to evaluate and continuously improve business outcomes.

Translate model outputs into actionable insights, recommendations, decision logic, dashboards, and business-facing experiences.

Integrate analytics, recommendations, and decision logic into business workflows while supporting transparency and explainability.

Drive adoption and value realization by monitoring solution performance, decision outcomes, and business impact.

Manage analysts and business partners to deliver effective analytics and decision-support solutions.

Time allocation estimated as follows:

30% Translate business needs, rules, thresholds, and operational decisions into analytic requirements and decision models.

20% Co-design optimization approaches, decision workflows, and experimentation frameworks with Data Science.

20% Partner with stakeholders to integrate solutions into workflows and drive adoption.

15% Measure outcomes against baselines and continuously improve solutions.

15% Support decision documentation, governance, transparency, and explainability.

Qualifications:

Education:

Bachelor’s degree in an analytical or quantitative field (e.g., Engineering, Mathematics, Statistics, Computer Science, Economics, Business, Operations Research, or related discipline).

Experience:

3+ years in an analytics, strategy, data science translation, product management, finance, or consulting role within a corporate or professional services environment.

Experience translating business problems into analytics requirements and partnering with technical teams to develop data-driven solutions.

Experience defining business KPIs, success measures, or experimentation approaches to evaluate the impact of analytics solutions.

Professional Skills: Strong understanding of analytics, AI/ML concepts, data technologies, and business value drivers.

Ability to translate business problems, decisions, rules, and constraints into structured analytical requirements.

Ability to synthesize complex model outputs into business-relevant recommendations and actions.

Understanding of experimentation, model evaluation, KPI development, and outcome measurement.

Working knowledge of predictive and prescriptive analytics, optimization, generative AI, and decision intelligence.

Strong structured problem-solving and cross-functional collaboration skills across Business, Data Science, Product, and Technology.

Excellent communication skills with the ability to explain analytical recommendations, tradeoffs, and outcomes to technical teams and senior leadership.