Sr. Dir, Revenue Data Analytics & Insights

GitHub, Inc.; United States; Remote; USD 132,000 - 352,000; Full time

Job summary

A leading developer platform company is seeking a Sr. Director of Revenue Data & Analytics to lead data strategy and execution. This role involves managing a high-performing team and ensuring the delivery of insights to drive revenue growth. The ideal candidate brings extensive experience in data analysis, management, and the ability to collaborate across departments. A competitive salary range is offered, reflecting location and expertise.

Benefits

Competitive salary

Diverse and inclusive workplace

Growth opportunities

Qualifications

• 12+ years experience in data analysis and reporting, data science, business intelligence or financial analysis.
• 5+ years people management experience.
• Experience with modern data stacks and BI tools.

Responsibilities

• Develop and execute a data and analytics roadmap for the Revenue organization.
• Build and lead a high-performing team of data professionals.
• Oversee the development of reporting and dashboards for sales performance.

Skills

Data analysis

Data science

Business intelligence

People management

SaaS metrics

Statistical techniques

Education

Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics

Tools

Snowflake

Azure Synapse

Power BI

Tableau

Job description

About GitHub

As the global home for all developers, GitHub is the complete AI-powered developer platform to build, scale, and deliver secure software. Over 150+ million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate and experiment across 420+ million repositories.

With all the collaborative features of GitHub, it has never been easier for individuals and teams to write faster, better code.

Locations

In this role you can work from Remote, United States

Overview

The GitHub Revenue team is at the forefront of driving our company's growth. We are seeking a strategic and visionary leader to establish and lead the Data & Analytics function for our entire Revenue organization.

The Sr. Director of Revenue Data & Analytics will be a pivotal leader responsible for building the strategy, team, and infrastructure to turn our vast datasets into actionable insights. You will lead a multi-disciplinary team spanning Data Analytics, Data Science, and Data Architecture to empower our Sales, Marketing, and Customer Success teams with the intelligence they need to accelerate growth, optimize go-to-market (GTM) strategies, and enhance customer value.

This role requires a unique blend of technical expertise, business acumen, and inspirational leadership. You will be a key partner to the Revenue leadership team and will collaborate extensively with peer data organizations across GitHub and Microsoft to create a cohesive and powerful data ecosystem.

Responsibilities

• Develop and execute a comprehensive data and analytics roadmap that aligns with the strategic goals of the Revenue organization.
• Build, lead, mentor, and inspire a high-performing team of data analysts, data scientists, and data architects, fostering a culture of curiosity, innovation, and impact.
• Serve as a key member of the Global Revenue Operations leadership team, acting as the primary data evangelist and strategic thought partner to senior GTM leaders.
• Champion a data-driven culture by making data accessible, understandable, and central to decision-making across all levels of the Revenue team.
• Establish and own the operating model for how the Revenue team engages with data, from executive-level dashboards to deep-dive ad-hoc analyses.

Data Analytics & Insights:

• Oversee the development and delivery of robust reporting, dashboards, and analytics that track key GTM performance indicators including pipeline generation, sales velocity, forecasting accuracy, customer retention, and expansion.
• Deliver deep-dive analyses to uncover trends, risks, and opportunities in our customer lifecycle, from acquisition and conversion to retention and advocacy.
• Translate complex analytical findings into clear, concise, and compelling narratives and recommendations for an executive audience.

Data Science & Advanced Analytics:

• Drive the application of advanced statistical and machine learning techniques to solve complex business problems.
• Lead initiatives to build predictive models for lead scoring, propensity to buy, churn risk, and territory optimization.
• Partner with Product and Engineering teams to leverage rich product usage data to identify signals for Product-Led Growth (PLG) and expansion opportunities within our sales-led motions.

Data Architecture & Governance:

• Design, own, and govern the data architecture for the Revenue team's data assets, ensuring a scalable, reliable, and accessible "single source of truth" for all GTM data.
• Partner closely with GitHub's central data platform teams and Microsoft's data engineering organizations to build efficient and robust data pipelines.
• Define and implement data quality standards, governance policies, and documentation to ensure data integrity and trust.

Qualifications

Required Qualifications:

• 12+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
• OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 10+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
• OR equivalent experience.
• 5+ years people management experience.
• 5+ years leading multi-disciplinary data teams (including managers) with experience supporting B2B SaaS GTM functions such as Sales, Marketing, or Customer Success.
• Experience with modern data stacks, including data warehousing (e.g., Snowflake, Azure Synapse), ETL/ELT processes, and BI tools (e.g., Power BI, Tableau)

Preferred Qualifications:

• Master's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics.
• Experience presenting insights and recommendations to stakeholders at all levels—from individual contributors to C-suite executives.
• Familiarity with the Microsoft data ecosystems (e.g., Azure Data Factory, Databricks on Azure, Power Platform).
• Experience applying data science and machine learning techniques to GTM problems (e.g., lead scoring, churn prediction).
• Proven experience leading cross-functional projects in a large, matrixed organization.
• Strong knowledge of core SaaS metrics and financial concepts (e.g., ARR, NRR, LTV, CAC).

Compensation Range

The base salary range for this job is USD $132,400.00 - USD $351,300.00 /Yr.

These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant.

GitHub values

• Customer-obsessed
• Ship to learn
• Growth mindset
• Own the outcome
• Better together
• Diverse and inclusive

Manager fundamentals

• Model
• Coach
• Care

Leadership principles

• Create clarity
• Generate energy
• Deliver success

Who We Are

GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting.

EEO Statement

GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life.