Director of GTM Data Science

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Director of GTM Data Science

Overview

A growing technology organisation is seeking a senior data leader to define and execute the strategy for Go-To-Market analytics and data science. Reporting into the head of data, this role will lead a team of analysts and data scientists while partnering closely with executive stakeholders across revenue-generating functions. The successful candidate will be responsible for establishing data-driven decision-making frameworks, governing key business metrics, driving predictive modelling initiatives, and enabling sustainable growth through advanced analytics and experimentation.

Key Responsibilities

Strategic Leadership & Data Strategy

Partner with senior leaders across sales, marketing, revenue operations, customer success, and finance to align analytics priorities with business growth objectives.

Develop and own a multi-year GTM analytics and data science roadmap focused on acquisition, retention, expansion, and operational effectiveness.

Establish governance standards and definitions for critical business metrics, including customer acquisition, customer value, conversion performance, retention, and funnel analytics.

Translate complex business questions into structured analytical initiatives and prioritise work based on strategic impact and return on investment.

Influence organisational decision-making through data-driven insights and recommendations.

Data Science & Advanced Analytics

Provide technical leadership for predictive and statistical modelling initiatives, including:

Customer lifetime value modelling

Lead and prospect scoring

Attribution analysis

Marketing effectiveness measurement

Sales prioritisation and propensity modelling

Guide experimentation programmes using A/B testing, causal inference, and advanced analytical methodologies.

Partner with operational and technology teams to improve data quality, instrumentation, and measurement capabilities.

Promote adoption of AI-enabled workflows and modern analytical tools to enhance team productivity and innovation.

Ensure statistical rigour and best practices through technical reviews, mentorship, and coaching.

Team Leadership & Organisational Impact

Lead, mentor, and develop a team of analytics and data science professionals.

Foster a culture of accountability, continuous learning, collaboration, and technical excellence.

Drive organisational transformation by improving analytical maturity and strengthening cross-functional partnerships.

Help establish scalable processes, operating models, and frameworks that support business growth and data-driven decision making.

Required Qualifications

7+ years of experience in data science, business analytics, revenue analytics, or a related field.

3+ years of experience managing and developing analytics or data science teams.

Strong expertise in B2B SaaS, subscription-based businesses, revenue operations, sales analytics, or marketing analytics.

Demonstrated success influencing senior executives and business leaders through data-driven recommendations.

Ability to evaluate and guide advanced analytical approaches, modelling assumptions, and technical implementations.

Strong proficiency in SQL and the ability to review and assess Python-based analytical solutions.

Deep knowledge of:

Machine learning and predictive modelling

Experimental design and A/B testing

Statistical analysis

Causal inference methodologies

Excellent communication, stakeholder management, and strategic influencing skills.

Proven ability to thrive in fast-paced, evolving environments with ambiguity and changing priorities.

Preferred Qualifications

Experience with modern cloud data andanalytics platforms such as:

Snowflake

Databricks

dbt

Airflow

Experience implementing measurement frameworks and improving data instrumentation.

Familiarity with AI-assisted analytics, development tools, and workflow optimisation.

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