About Enlighten

Enlighten AI Labs builds enterprise AI products and analytics solutions that help organizations turn complex data into clear decisions. Our products include Aria (an AI analyst that turns business data into insights and recommendations) and Echo (an analytics quality assurance platform that checks whether digital tracking matches measurement requirements). We work with enterprise teams across industries, combining analytics expertise, AI, and hands-on delivery to solve business problems.

About the role

You'll lead our Insights Practice, helping analysts do their best work and helping clients make better decisions. This is a hands-on leadership role: you'll coach the team, own senior client relationships, and stay close to the analysis. We're looking for an experienced digital analytics leader who can strengthen delivery, develop people, and make AI a practical part of the team's work.

What you'll do

• Lead the team's delivery, setting clear expectations for analytical quality, timeliness, and communication.
• Build a consistent rhythm of one-on-ones, feedback, and career development. Handle performance issues directly and fairly.
• Own senior client relationships, seek feedback early, and work through difficult conversations with clarity and judgment.
• Stay hands-on with client work: frame questions, guide methods, review findings, and contribute analysis where needed.
• Coach analysts on technical skills, business judgment, and presenting recommendations to clients.
• Help interview and hire analysts, matching team capacity and capabilities to client needs.
• Develop repeatable AI workflows for analysis and prototyping, with clear standards for checking the results.

What you bring

• A strong track record in senior digital analytics roles, with experience managing analysts and taking responsibility for client delivery.
• The ability to balance team leadership with billable client work, including setting priorities when both need your attention.
• Confidence with senior stakeholders and the judgment to turn ambiguous business questions into measurement plans and useful recommendations.
• Hands-on experience with GA4 or Adobe Analytics, tag management tools such as Google Tag Manager, Adobe Launch, or Tealium, and well-designed event tracking and data layers.
• Strong SQL skills, experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift, and working proficiency in Python or R.
• Depth in at least one end-to-end analytics or machine learning platform, such as Databricks, Dataiku, Microsoft Fabric, Vertex AI, SageMaker, KNIME, or Alteryx. We value transferable expertise across platforms.
• Experience with business intelligence and visualization tools such as Looker, Tableau, Power BI, or Looker Studio.
• Practical experience with experimentation, attribution, marketing mix modeling, conversion optimization, segmentation, cohorts, funnels, and customer lifetime value.
• Experience using large language models and AI agents in analytical work, with the judgment to verify outputs and coach others on their use.

Nice to have

• Experience building or scaling an insights team, including delivery reviews and client feedback processes.
• Experience leading analysts embedded in client teams.
• Experience in restaurants, quick-service restaurants, retail, or other consumer businesses.

How we work

AI is part of how we work every day. We use it to accelerate analysis, development, and review, with people accountable for the quality of the result. We communicate clearly, document decisions, share feedback early, and follow work through to completion.

What success looks like

• Analysts have clear expectations, regular coaching, and meaningful development plans.
• Clients trust the team and have a senior leader accountable for delivery and analytical quality.
• AI helps the team produce useful, verified work more efficiently.
• The practice can take on more work while maintaining quality and supporting the people delivering it.