Manager, Strategic Growth (Finance)

Job Description:

As the steward of the Mars Growth Model, you'll drive what's next-turning data into strategic business imperatives and embedding AI-powered tools that amplify impact. Blending deep business acumen with hands-on coding and large language‑model expertise, you'll shape how our analytics tools not only perform-but anticipate, adapt, and scale.

You're architecting the future of growth intelligence at Mars-blending strategic analytics, AI-driven tools, and multi-market alignment to drive commercial effectiveness with unprecedented clarity and agility.

You're not just optimizing analytics-you're redefining the strategic toolkit for Mars. By blending LLM-enhanced insight delivery with deep business strategy, you'll elevate growth execution from reactive analysis to proactive, intelligent decision-making.

What will be your key responsibilities?

• Strategic Analytics Meets AI Innovation - Drive full-lifecycle embedment of the Growth Model, anchored by robust analytics and enhanced through intelligent AI-transforming strategic insights into models with real-time foresight and adaptability.
• LLM-Enhanced Data & Insights Infrastructure - Design and integrate systems leveraging large language models (LLMs) to generate dynamic scorecards, automate narrative reporting, and synthesize multi-market insights to keep outputs accurate and grounded.
• AI-First Tool Development & Deployment - Build, fine-tune, and deploy AI-powered modules-such as generative forecasting tools or narrative dashboards.
• Cross-Functional Leadership Across Business and Tech - Facilitate strategic dialogue with stakeholders-from analysts to C-suite-translating outputs into business-ready dashboards, narratives, and decisions. Partner with Mars internal AI governance and development team to understand what is possible within corporate governance and frameworks.
• Automated Storytelling & Insight Delivery - Create AI-generated, context-sensitive commentary that accompanies Key Performance Indicator (KPI) visualization-turning numbers into narrative and ensuring insights are accessible and actionable across function and region.
• Digital Talent Development - Mentor team members in both data science and strategic insights-fostering skills in prompt optimization, model evaluation, stakeholder communication, et al.
• Vendor & Partner Management - Lead engagements with external providers or consultancies, ensuring alignment with Mars' strategic vision, data governance standards, and model performance expectations.

What are we looking for?

• Bachelor's in Business, Data Science, or related field; MBA preferred.
• 7+ years in strategic analytics, Business Intelligence, or growth strategy, with demonstrable AI application-particularly involving LLMs or generative AI.
• Technical fluency in coding (Python, SQL, R) and LLM toolchains (prompting, model fine-tuning).
• Strong business strategy and insight translation skills-able to convert data and AI outputs into commercial advantage.
• Consumer Packaged Goods (CPG) or retail experience.
• Hands-on experience with AI frameworks (e.g. OpenAI, Hugging Face), prompt engineering, or AI-enabled analytics pipelines.

What can you expect from Mars?

• Work with diverse and talented Associates, all guided by the Five Principles.
• Join a purpose-driven company, where we're striving to build the world we want tomorrow, today.
• Best-in-class learning and development support from day one, including access to our in-house Mars University.
• An industry-competitive salary and benefits package, including a company bonus.

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The base pay range for this position at commencement of employment is between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but not limited to job-related knowledge, skills, and experience.The total compensation package for this position will include variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits.Details of participation in these benefit plans will be provided if an applicant receives an offer of employment.

The pay range shown is applicable to all locations listed within the job posting:USD 168,217.00 - USD 231,293.00