Director - GTM Data, Analytics & Insights

Meet DeepL. DeepL is a global communications platform powered by Language AI. Since 2017, we’ve been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. Our goal is to become the global leader in Language AI, building products that drive better communication, foster connections, and make a real-life impact.

As the Director of Data Insights and Analytics, you will be the strategic and technical lead responsible for building a best-in-class data function focused on driving revenue performance. This role will sit at the intersection of data engineering, analytics, and data science, and will partner closely with Sales, Customer Success, Marketing, and Tech teams. You’ll lead the development of robust data pipelines, ensure data quality and governance, design advanced analytics capabilities, and build predictive models to optimize revenue outcomes.

We’re seeking a strategic leader who thrives in a fast-paced environment and is passionate about leveraging data and technology, particularly AI, to drive success. The ideal candidate is a collaborative problem-solver with a deep understanding of B2B analytical needs, has a strong technical acumen, and a proven ability to lead high-performing teams.

• Data Strategy & Infrastructure: Design and implement a comprehensive road map that empowers go-to-market (GTM) departments to make informed, data-led decisions.
• Cross-functional collaboration: Partner with Sales, Marketing, Customer, and Tech teams to deliver insights that inform strategic direction and enhance overall business outcomes.
• Design and maintain scalable, secure, and reliable data pipelines that support revenue analytics across the customer lifecycle.
• Lead integration across CRM, CS, billing, and product usage platforms (e.g., Salesforce, Gainsight, Hubspot, Clickhouse, Databricks).
• Define and enforce best practices in data integrity, lineage, and governance to ensure trusted and unified reporting.
• Ensure thorough documentation for data processes, systems architecture, and stakeholder dependencies, promoting transparency and cross-team efficiency.

• Build and evolve dashboards, KPIs, and reporting suites that measure performance across Sales and Customer Success.
• Translate complex data into actionable insights and strategic recommendations for revenue leaders.
• Partner with RevOps and GTM leadership to develop pipeline forecasting, churn analysis, segmentation strategies, and performance attribution models.

• Develop and deploy predictive models to support lead scoring, customer health scoring, revenue forecasting, upsell/cross-sell propensity, and retention.
• Evaluate and continuously improve model accuracy, bias, and effectiveness using advanced statistical techniques.
• Collaborate with engineering and product teams to embed intelligence into operational workflows and systems.

• Lead and mentor a team of data analysts, scientists, and engineers.
• Foster a culture of collaboration, innovation, and continuous improvement.
• Champion a practice of experimentation, curiosity, and data literacy across the Revenue organization.

• 8+ years of experience in data analytics, data science or business intelligence, with a proven focus on Revenue, Sales, or Customer organisations.
• At least 4 years in a leadership role managing cross-functional data teams in a SaaS, tech or AI-driven company.
• B2B Experience. Develop and track key performance metrics related to sales-assist growth, cost of acquisition, pipeline health, conversion efficiency, sales productivity and customer retention.
• Deep understanding of CRM and Customer Success data models (Salesforce, HubSpot, Gainsight).
• Strong experience building and maintaining data pipelines with modern tools (e.g., dbt, Airflow, Fivetran, Snowflake).
• Proven success developing and operationalizing predictive models using Python or SQL.
• Expert-level skills in data visualization and BI platforms (e.g., Looker, Tableau, Metabase).
• Excellent communication, stakeholder management, and cross-functional collaboration skills.
• Strong personal impact. Ability to present to and influence senior leaders, ability to challenge and communicate complex subjects in a simple way.
• Proactive and self-motivated, with a passion for continuous learning and staying up-to-date with industry trends and best practices.
• People Leadership. Experience building and scaling analytics teams in fast-paced, high-growth environments.
• Demonstrated experience in building, inspiring, and developing high-performing teams.
• Proven ability to set clear expectations for direct reports, evaluate performance, and support career growth.
• Ability to work in a fast-paced environment: creating plans which are highly flexible based on numerous internal and external dependencies.

• Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities.
• Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication.
• Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week.
• Regular in-person team events: we bond over vibrant events that are as unique as our team.
• Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you’re passionate about.
• 30 days of annual leave: we value your peace of mind.
• Competitive benefits: we’ve crafted it to reflect the diversity of our team and tailored it to align with your unique location.

We are an equal opportunity employer. You are welcome at DeepL for who you are—we appreciate authenticity here. Our product is for everyone, and so is our workplace.