Sr. Dir, Revenue Data Analytics & Insights job opportunity at GitHub.

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GitHub Sr. Dir, Revenue Data Analytics & Insights
Experience: 10-years
Pattern: remote
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Revenue

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degreeBachelor's (B.Sc.)
United States Of America

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 Leadership & Strategy: 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.

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