top of page

Head of Data AI - Global Consulting

Head of Data/AI, Digital Experience

We are seeking an Executive-Level Group Data / AI Director who experienced Marketing and Customer Analytics to help our clients drive their marketing attribution, data science and use of customer lifecycle data to drive user acquisition, retention, and engagement. This leader will be responsible for re-imagining how to leverage data across all marketing channels, how to enhance signals to understand customer intent and drive omni-channel experience optimization across client’s portfolio.

What you will do:

  • Build and own to consulate overall customer journey analytics strategy and drive deep analysis of customer issues, pain points, funnel metrics and enable client’s marketers and product leaders to create exceptional digital experiences.

  • Create customer segmentation and engagement strategy, leveraging 1st and 3rd party customer data, to find out personalization opportunities powered by AI.

  • Bring deep experience in marketing attribution/spend optimization, data science and customer data analysis (segmentation, propensity modeling, attrition modeling etc.,) and is confident in leading a high-performance team to flawlessly execute against a large portfolio of programs and initiatives that deliver exceptional business results

What we are looking for:

  • Visionary: Operate as a thought and visionary leader, with the ability to guide, influence and inspire peak performance across the analytics functions. Develop the analytic roadmap and partner with other data, creative, technology teams to help shape a coherent data strategy to support business growth. Strengthen alignment around analytic capabilities with marketing, data engineering and AI technology partners. Share insights with senior executives and craft related action plans with internal stakeholders.

  • Leader: Guide and inspire the teams around analytics best practices and evangelize strategic use of data to increase data literacy throughout the entire organization. Continually look at the environment to challenge our assumptions around new sources of data, tools, talent, potential partners, etc. Lead a large team of data scientists, data analysts and experimenters and refine how we add value to client’s branding/marketing/experience involves.

  • Technical Do-er. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. You can engage and unblock teams and help them evaluate trade offs in mar-tech, experience platform, data engineering and AI spaces. You enjoy branding/marketing/experience challenges of developing acquisition, retention, and engagement strategies for a user.

  • Stastically-minded. You’ve built models, validated them, and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

  • Intellectually curious: You are comfortable navigating between the big ideas and executional realities to create an achievable strategic product vision. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges.


  • Proven experience leading and inspiring a high-performing data team to support growth objectives

  • Understanding of advanced analytic techniques and modern tools

  • 10+ years of experience in a customer analytics, experimentation, and data science, with direct analytics leadership experience

  • Expertise in econometric modeling practices and how to apply models to measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend

  • Hands-on experience building out measurement frameworks combining descriptive analytics, modeled insights and causal inference to make tactical recommendations for media optimization

  • Experience with attribution platforms for both digital and linear media, the data required to power them and methodologies for measurement

  • Understanding of how to design and execute incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy

  • Familiarity with marketing technology concepts and tools

  • Ability to communicate at all levels with both business and technology leaders, with a strong understanding of business data requirements and technology capabilities

39 views0 comments

Recent Posts

See All


Post: Blog2_Post
bottom of page