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Active2w ago

Delivery Lead - RGM

Sigmoid·📍 Bengaluru, KA, India

Employment

Full-Time

Work mode

On-site

Experience

8+ years

Salary

Not disclosed

Salary not disclosed

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Role overview

Job description

Delivery Lead – Revenue Growth Management (RGM) / Commercial Analytics Role Overview The Delivery Lead – RGM / Commercial Analytics will own end-to-end delivery of Revenue Growth Management programs for global CPG and Retail clients. This role sits at the intersection of commercial strategy, advanced analytics, and execution excellence, with accountability for pricing, promotion, assortment, trade investment, and net revenue management use cases. The individual will be responsible for translating ambiguous commercial questions into scalable RGM analytics solutions, ensuring high quality delivery, measurable business impact, and strong senior stakeholder confidence. The role is also expected to contribute to practice building, account growth, and capability maturation within RGM. Key Responsibilities 1. RGM Program & Delivery Ownership Own end-to-end delivery of multi-workstream RGM and Commercial Analytics programs, spanning: Pricing & Price-Pack Architecture Promotion Effectiveness & Optimization Trade Spend & Investment Governance Assortment & Portfolio Optimization Net Revenue, Margin, and Mix Analytics Responsibilities: Ensure delivery rigor across multiple clients, balancing priorities, timelines, and value realization. Partner closely with Data Engineering, Data Science, and Product teams to ensure RGM solutions are scalable, repeatable, and production ready. 2. Commercial Problem Translation & Solution Design Translate ambiguous commercial and revenue challenges into structured RGM analytics problem statements. Design RGM analytics frameworks aligned to client decision cycles (who decides, when, and how). Ensure solutions are actionable, not just analytical, clearly linking insights to pricing actions, promo levers, and margin outcomes. Strong understanding of how pricing, promo, and assortment decisions are made in market. 3. Senior Stakeholder & Client Leadership Build credibility with senior commercial, finance, and category leaders through: Strong business context Clear storytelling of RGM insights Consistent delivery quality Responsibilities: Act as a trusted RGM advisor, not just a delivery manager. Lead governance forums, value reviews, and roadmap discussions for RGM initiatives. 4. Team Leadership & Capability Building Lead, mentor, and grow RGM analytics teams (10–20 members) across analysts, consultants, and leads. Support recruitment, onboarding, and capability uplift in RGM-specific skills. Embed best practices in RGM analytics delivery, documentation, and quality assurance. 5. Quality, Scale & Value Realization Ensure high quality, scalable deliverables aligned to commercial KPIs such as: Net Revenue Growth Price Realization Promo ROI Trade Efficiency Margin Improvement Responsibilities: Track value realization, not just output delivery. Drive standardization and reusability of RGM assets, models, and dashboards. 6. Practice & Account Growth Support account expansion and conversion to sales through: Identifying new RGM opportunities Shaping solution approaches and proposals Contribute to RGM practice building frameworks, accelerators, POVs, and case studies Experience & Qualifications Must-Have 12 ± 1 years of overall experience, with 8+ years in analytics delivery. Strong experience delivering RGM / Commercial Analytics for CPG or Retail clients. Proven track record of managing multi-client, multi-workstream delivery programs. Ability to engage with business and technical stakeholders and connect analytics to commercial decisions. Strong analytical mindset with ability to derive insights that influence RGM outcomes. Technical & Analytics Skills Solid understanding of commercial data models (pricing, promo, trade, mix & assortment). Working knowledge of cloud and data platforms: Snowflake, Databricks, Azure, AWS. Familiarity with data quality, governance, and access controls in enterprise RGM setups. Strong hands-on experience with BI & visualization tools: Power BI, Tableau, Looker, Qlik. Domain Expertise (Highly Preferred) Deep exposure to CPG / Retail commercial domains, including: Pricing & Promo Mechanics Trade Terms and Investment Structures Category and Channel Dynamics (Modern Trade, GT, eCommerce) Additional Preference: Experience working with global or regional RGM teams is a strong plus. Success Metrics (KPIs) Delivery Quality & Timeliness Business Impact & Value Realization (RGM Outcomes) Client Trust & Stakeholder Satisfaction Team Capability & Retention Contribution to Sales & Practice Growth Note: By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.

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About this listing

  • Source: Sigmoid's official careers site · still listed there on 8 Nov 2026
  • Posted 22 Oct 2026

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What they are looking for

Skills & requirements

Department · Business Consulting & Solutions

Hiring company

Sigmoid

Technology

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India.Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists.

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