Analytics Director

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Analytics Director - CPG

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.

Please visit

Fractal | Intelligence for Imagination

for more information about Fractal.

Job Description:

We're looking for an Analytics Director to serve as the onsite lead for a large commercial analytics program within our industry leading Consumer Packaged Goods client. You'll partner closely with senior business stakeholders to translate strategic objectives into a pragmatic analytics roadmap, guide the design of scalable data foundations, and oversee delivery that drives measurable business outcomes. The role blends client leadership, domain depth in commercial functions, and delivery oversight across multidisciplinary teams.

Key Responsibilities:

Client & Stakeholder Leadership

• Serve as the primary onsite point of contact for senior stakeholders across sales, marketing, revenue/growth, and analytics.
• Drive governance, status, risk/issue management, and executive updates to maintain alignment and momentum.
• Shape scope/SOWs and contribute to proposals and responses (RFP/RFI) when required.

Value & Roadmap

• Translate business priorities into a value-led analytics roadmap with clear objectives and success measures.
• Facilitate workshops and working sessions to refine priorities, align on definitions, and support adoption/change management.

Data & Analytics Delivery

• Guide teams in establishing robust data foundations and reusable data assets that enable reliable reporting and advanced analytics.
• Promote data quality, standard definitions, and fit-for-purpose security/governance practices.
• Enable self-service insights and decision support for business users.

Ways of Working & Team Leadership

• Lead multi-workstream delivery using iterative/agile practices (backlog management, sprint planning, and acceptance).
• Coordinate onsite–offshore teams; forecast capacity, manage budgets/timelines, and uphold delivery quality.
• Coach and mentor consultants; model operational discipline and continuous improvement.

Required Qualifications:

• 12–13 years of progressive experience in data/analytics consulting or data-driven transformation, with 5+ years in client-facing leadership.
• Strong commercial domain understanding across route-to-market, marketing, and revenue/growth functions.
• Proven track record translating business goals into analytics roadmaps and leading end-to-end delivery from concept to adoption.
• Technical fluency to credibly lead conversations with engineering and analytics teams (e.g., SQL literacy, BI concepts, data modeling principles, quality/governance, and familiarity with at least one major cloud ecosystem).
• Experience leading business analysis (requirements, user stories, acceptance criteria) and managing delivery backlogs.
• Excellent executive communication, structured problem solving, and storytelling; ability to influence and drive outcomes.
• Bachelor's or Master's degree in Business, Engineering, Computer Science, Economics, Statistics, or related field.

Preferred (Good to Have):

• Exposure to commercial analytics areas such as pricing/promotion effectiveness, trade/channel performance, or marketing effectiveness.
• Experience with program financials (forecasting, margin management) and presales/origination activities.
• Familiarity with modern data/analytics toolchains and CI/CD practices (vendor-agnostic).

Behavioral Traits:

• Proactive, accountable, and comfortable working onsite with senior stakeholders.
• Balances strategic thinking with hands-on execution and attention to detail.
• Collaborative leader who aligns business, data, and engineering perspectives to deliver results.

Pay:

The wage range for this role takes into