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Senior Manager, Analytics & Machine Learning – AdTech

Delivery Hero — Germany · Posted ~1 hour ago

Senior Visa History ✓

Skills

Analytics leadership Team management Mentoring Career development Stakeholder management Data storytelling Business acumen Operational excellence Data analysis Analytics Machine learning Data science Sprint planning

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Summary ✨ AI‑Generated

Lead a team of data analysts within a sophisticated advertising technology organization. Transform analytics from a reactive reporting function into a proactive business partnership, coach analysts in technical and commercial skills, establish effective delivery processes, and ensure insights are communicated through compelling data storytelling.

Highlights

Lead and develop a team of data analysts, establish a proactive analytics culture, strengthen technical and business capabilities, improve delivery operations, and turn data into high-impact business insights.

Description

Job DescriptionWe are looking for an empathetic and operationally rigorous Analytics Senior Manager to lead a team of data analysts within our AdTech division. Your mission is to transition this team from a reactive, request based and "data-pulling" function into a proactive, consultative partner to the business. You will partner closely with our Staff Analysts and Data Scientists to upskill the team's technical capabilities, while you focus on career development, stakeholder management, and ensuring the team delivers high-impact, narrative-driven insights that maximize our ad inventory yield. Your key responsibilities include: Team Leadership & Coaching: Manage, mentor, and grow a team of data analysts. Conduct regular 1:1s, define clear career progression paths, and coach them on business acumen and data storytelling. Operational Excellence: Own the team’s delivery pipeline. Implement sprint planning or intake processes to protect the team from ad-hoc chaos, ensuring they focus on high-ROI projects rather than just answering tickets. Stakeholder Management: Act as a point of contact for Director-level stakeholders in Commercial, Product and Engineering. Negotiate roadmaps, manage expectations based on the expected impact of the analyses. Strategic Alignment: Translate the broader Ads division strategy into actionable quarterly goals for your analysts. Ensure every dashboard or analysis built ties directly to maximizing ad revenue or improving vendor ROI. Technical Oversight & QA: While you won't be the primary coder, you will review your team’s work. You will ensure ML models follow rigorous standards, SQL queries are optimized, dashboards are intuitive, analysis and presentations answer the "So what?" before they reach senior leadership. You are also familiar with regulations such as GDPR and ensure the team adheres to them. Cross-Functional Partnership: Collaborate seamlessly with analysts, data scientists and engineering to operationalize advanced machine learning models (like churn prediction, lead scoring, siamese data simulation, DML etc.) in order to drive meaningful change for our customers and business.