Full-Time

Inventory & Yield Optimisation Manager

Confirmed live in the last 24 hours

dunnhumby

dunnhumby

1,001-5,000 employees

Customer data analytics for retail marketing

Data & Analytics
Consulting
Venture Capital
Consumer Goods

Senior, Expert

London, UK

Category
Inventory Management
Procurement & Sourcing
Operations & Logistics
Required Skills
Data Analysis
Requirements
  • 10+ years of pricing and inventory optimisation experience for a media owner or publisher, ideally across both digital and traditional channels
  • Deep working knowledge of Ad networks/Ad exchanges/DSP/SSP/Publishers
  • Working knowledge of Google Ad Manager, CitrusAd, Criteo or similar ad serving technologies
  • Proven track record of partnering with Sales, Sales Ops, or Ad Ops to achieve yield optimisation results
  • Strong record of growing a high performing team in a fast-paced environment
  • Strong commercial background and proven experience in partnering with cross-functional teams to drive commercial success
  • Comprehensive understanding of digital or retail media advertising ecosystem
Responsibilities
  • Define and deliver our inventory management capability including forecasting and monitoring inventory utilisation by channel across CPGs, Categories & Agencies, with the goal of maximising revenue
  • Work closely with Proposition, Product & Sales teams to build revenue models that show the impact of differing and sometimes competing yield optimisation strategies
  • Define our pricing strategy and implementation, optimizing for overall revenue impact and advertiser satisfaction
  • Own all ratecard processes, taking on board feedback from internal sales teams & external benchmarks to ensure we are maximizing revenue through our pricing strategy
  • Work closely with our Finance & Product teams to define and interpret revenue utilisation KPIs, and transform this data into actionable insights which can influence the evolution of our offering
  • Report KPIs and educate the sales teams on yield optimisation strategies to help maximise revenue and advertiser demand
  • Maintain a strong understanding of our ad platforms, data sources, operational and sales workflows to develop data-driven recommendations that improve yield and team efficiency
  • Manage a team of pricing and yield optimisation specialists

dunnhumby specializes in Customer Data Science, focusing on enhancing customer experiences for retailers and brands through data analysis. The company uses advanced analytics to interpret customer behavior, preferences, and trends, which allows clients to implement targeted marketing campaigns. Instead of storing personal data, dunnhumby analyzes data using unique identifiers from browsers and devices to derive insights. What sets dunnhumby apart from its competitors is its comprehensive suite of services, including media solutions and personalized marketing strategies, which are designed to improve customer engagement and drive sales. Additionally, dunnhumby Ventures invests in early-stage retail technology startups, ensuring the company remains at the forefront of retail innovation. The primary goal of dunnhumby is to empower retailers and brands to create better customer experiences through actionable insights and tailored marketing efforts.

Company Stage

Acquired

Total Funding

N/A

Headquarters

London, United Kingdom

Founded

1989

Growth & Insights
Headcount

6 month growth

4%

1 year growth

4%

2 year growth

4%
Simplify Jobs

Simplify's Take

What believers are saying

  • dunnhumby's continuous innovation, evidenced by new AI tools and solutions, positions it as a leader in retail analytics and customer data science.
  • The company's venture fund, dunnhumby Ventures, provides opportunities for growth and staying at the forefront of retail technology.
  • Recognition by Gartner in multiple Hype Cycles underscores dunnhumby's industry leadership and credibility.

What critics are saying

  • The competitive landscape in retail analytics and customer data science is intense, requiring constant innovation to maintain a leading position.
  • Dependence on strategic partnerships, such as with Placer.ai, could pose risks if these partnerships face challenges or dissolve.

What makes dunnhumby unique

  • dunnhumby's focus on Customer Data Science and advanced data analytics sets it apart from competitors who may not offer the same depth of customer insights.
  • The company's unique AI-powered tools, such as the Competitive Threat Evaluator and Assortment Tool, provide actionable insights that are not commonly available in the market.
  • Strategic partnerships, like the one with Placer.ai, enhance dunnhumby's ability to offer comprehensive online/offline customer journey insights, giving it a competitive edge.

Help us improve and share your feedback! Did you find this helpful?