Engineering Director at dunnhumby

Gurugram, Haryana, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Customer Data Science, Retail, CPG, MediaIndustries

Requirements

Proficiency in .NET/Java, Kafka, Flink, Spark, GCP/AWS, Kubernetes, REST/GraphQL APIs, and modern BI tools
Strong understanding of microservices, domain-driven design (DDD), CI/CD pipelines, observability, and DevOps frameworks
Experience building ML inference pipelines, optimization engines, vector and hybrid search systems, and streaming data architectures
Hands-on exposure to feature stores, embedding stores, and experimentation frameworks for campaign planning and recommendations
A strong understanding of Agentic AI systems and LLM-based architectures — including experience with tools like GitHub Copilot, Builder.io, or leading teams that have built autonomous agents using OpenAI, Anthropic, or similar models
15+ years in software engineering, including 5+ years leading multi-team, platform-scale initiatives
Proven track record in delivering AI/ML-driven media planning, optimization, or recommendation platforms at scale
Strong architectural judgment, data-driven decision-making

Responsibilities

Define and execute the engineering strategy for Media Planning and Recommendations aligned to business and client outcomes
Build and scale real-time data, ML serving, and recommendation platforms integrating AI/LLMs, vector search, and optimization models
Partner with Data Science and Product to productionize planning and measurement models (ROAS, iROAS, uplift, reach, frequency)
Drive adoption of Agentic AI systems that leverage autonomous reasoning, orchestration, and workflow automation across campaign planning and optimization
Lead multiple teams through technical excellence, operational rigor, and innovation across architecture, delivery, and DevOps
Ensure platform reliability, observability, and cost efficiency through well-defined SLOs, metrics, and governance
Coach and develop Engineering Managers and Leads, fostering a culture of ownership, experimentation, and collaboration

Skills

Key technologies and capabilities for this role

AIGenerative ModelsVector SearchScalable PlatformsHigh-Availability SystemsLow-Latency SystemsMedia PlanningData ScienceEngineering Leadership

Questions & Answers

Common questions about this position

What technical skills are required for the Engineering Director role?

Proficiency is required in .NET/Java, Kafka, Flink, Spark, GCP/AWS, Kubernetes, REST/GraphQL APIs, and modern BI tools, along with a strong understanding of microservices, domain-driven design (DDD), CI/CD pipelines, observability, and DevOps.

What are the key responsibilities of the Engineering Director?

Responsibilities include defining engineering strategy, building real-time data and ML platforms with AI/LLMs and vector search, partnering with Data Science and Product, driving Agentic AI adoption, leading teams, and ensuring platform reliability and cost efficiency.

Is this Engineering Director position remote or office-based?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What leadership qualities are expected in the Engineering Director?

The role requires leading multiple teams through technical excellence, operational rigor, and innovation, while coaching and developing Engineering Managers and Leads to foster a culture of ownership, experimentation, and collaboration.

dunnhumby

Customer data analytics for retail optimization

About dunnhumby

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 maintain privacy. Its services include media solutions, customer insights, and personalized marketing strategies, which help clients improve customer engagement and sales. Additionally, dunnhumby Ventures invests in early-stage retail technology startups, ensuring the company remains at the forefront of retail innovation. The main goal of dunnhumby is to empower businesses to create better customer experiences through data-driven insights.

London, United KingdomHeadquarters

1989Year Founded

BUYOUT_LBOCompany Stage

Data & Analytics, Consulting, Venture Capital, Consumer GoodsIndustries

1,001-5,000Employees

Benefits

Flexible Work Hours

Unlimited Paid Time Off

Remote Work Options

Risks

Departure of key media team member may disrupt dunnhumby's media strategy.

Challenges in integrating startups with enterprises could misalign innovation goals.

Data privacy concerns may arise from partnerships, affecting client trust.

Differentiation

dunnhumby leverages AI to optimize product selection and inventory management.

The company offers a unique Competitive Threat Evaluator for strategic market insights.

dunnhumby partners with startups through its Retail Innovation Network to drive retail tech.

Upsides

Real-time data analytics partnerships enhance dunnhumby's market adaptability.

AI-powered tools position dunnhumby as a leader in competitive retail analysis.

The Retail Innovation Network fosters collaboration, boosting innovation in retail technology.

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