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Sigmoid

Real-time ad analytics and bid optimization

Engagement Manager - Revenue Growth Management

Strategy & Management ConsultingUpdated on Nov 12
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 11 years of overall experience, including at least 8 years in analytics delivery.
  • Strong experience delivering Revenue Growth Management or Commercial Analytics for Consumer Packaged Goods or Retail clients.
  • A proven track record of managing multi-client, multi-workstream delivery programs.
  • Ability to engage business and technical stakeholders and connect analytics to commercial decisions.
  • Ability to derive insights that influence Revenue Growth Management outcomes.
  • Solid understanding of commercial data models covering pricing, promotions, trade, mix, and assortment.
  • Working knowledge of Snowflake, Databricks, Azure, and AWS.
  • Familiarity with data quality, governance, and access controls in enterprise Revenue Growth Management environments.
  • Hands-on experience with Power BI, Tableau, Looker, and Qlik.

Responsibilities

  • Own end-to-end delivery of multi-workstream Revenue Growth Management and Commercial Analytics programs covering pricing and price-pack architecture, promotion effectiveness and optimization, trade spend and investment governance, assortment and portfolio optimization, and net revenue, margin, and mix analytics.
  • Ensure delivery rigor across multiple clients while balancing priorities, timelines, and value realization.
  • Partner with Data Engineering, Data Science, and Product teams to ensure Revenue Growth Management solutions are scalable, repeatable, and production-ready.
  • Translate ambiguous commercial and revenue challenges into structured Revenue Growth Management analytics problem statements.
  • Design Revenue Growth Management analytics frameworks aligned to client decision cycles.
  • Ensure solutions are actionable and link insights to pricing actions, promotional levers, and margin outcomes.
  • Build credibility with senior commercial, finance, and category leaders through business context, clear storytelling of Revenue Growth Management insights, and consistent delivery quality.
  • Act as a trusted Revenue Growth Management advisor.
  • Lead governance forums, value reviews, and roadmap discussions for Revenue Growth Management initiatives.
  • Lead, mentor, and grow Revenue Growth Management analytics teams of 10–20 members across analysts, consultants, and leads.
  • Support recruitment, onboarding, and capability development in Revenue Growth Management skills.
  • Embed best practices in Revenue Growth Management analytics delivery, documentation, and quality assurance.
  • Ensure high-quality, scalable deliverables aligned to commercial key performance indicators, including net revenue growth, price realization, promotional return on investment, trade efficiency, and margin improvement.
  • Track value realization, not just output delivery.
  • Drive standardization and reusability of Revenue Growth Management assets, models, and dashboards.
  • Identify new Revenue Growth Management opportunities, shape solution approaches and proposals, and contribute to practice-building frameworks, accelerators, points of view, and case studies.

Desired Qualifications

  • Deep exposure to Consumer Packaged Goods or Retail commercial domains, including pricing and promotional mechanics, trade terms and investment structures, and category and channel dynamics across modern trade, general trade, and e-commerce.
  • Experience working with global or regional Revenue Growth Management teams.

About the Company

Sigmoid

Real-time ad analytics and bid optimization

Sigmoid analyzes real-time ad bid and auction data to optimize advertising spend and revenue. The platform, SigView, processes billions of ad impressions in real time to deliver business intelligence, sales forecasting, trend analysis, and bid optimization for both buy-side players (buyers, DSPs, ad networks) and sell-side players (SSPs, ad exchanges). It is subscription-based, granting clients instant access to bid and auction data for ad hoc exploration and informed decision-making. Compared with competitors, Sigmoid combines real-time, large-scale data analytics across both sides of the market and provides a unified view for optimizing campaigns and revenue, rather than offering a single-side solution.

Company size
1,001-5,000
Company stage
Series B
Total funding
$12M
Headquarters
Jersey City, NJ
Founded
2013

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