Position: Manager 2, Data Science (GBSG - Mid Market)
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location.
To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
Responsibilities
- Lead and develop a team of data scientists supporting Marketing and Sales for Intuit Enterprise Suite (IES), providing coaching, structured feedback, and growth opportunities to strengthen technical skills, business impact, and emerging leadership capabilities.
- Own a well-defined problem space within GTM analytics (e.g., pipeline generation, conversion, or revenue performance), setting clear priorities and ensuring delivery against team goals with measurable business outcomes.
- Build team operating mechanisms and scalable processes that bring clarity, focus, and execution rigor in a fast-paced and evolving mid‑market environment.
- Partner with Marketing, Sales, Product, and Finance stakeholders to apply data‑driven insights to business problems, influencing decisions within your domain and contributing to broader GTM strategy.
- Translate business needs into clearly scoped analytical problems and roadmaps, and drive end‑to‑end execution— from problem framing and analysis to insight generation and stakeholder adoption.
- Define and operationalize core metrics and measurement frameworks to track performance across the marketing and sales funnel, ensuring consistency and trust in data‑driven decisions.
- Apply and guide the team in using advanced analytics techniques (experimentation, statistical modeling, machine learning) to solve business problems, with a focus on practical impact over theoretical complexity.
- Promote a culture of experimentation and test‑and‑learn, enabling teams to validate hypotheses and improve performance through data.
- Drive adoption of best practices in data science workflows, tooling, and communication to improve team effectiveness and output quality.
- Demonstrate and foster a “win together” mindset, collaborating effectively across teams while constructively challenging assumptions and improving ways of working.
Qualifications
- BS, MS, or PhD in Statistics, Computer Science, Applied Mathematics, Econometrics, Operations Research, or a related quantitative field.
- 8+ years of experience in data science, analytics, or a related role, including prior experience leading or mentoring individuals or small teams.
- Demonstrated ability to own and deliver within a defined problem space, with clear examples of driving measurable impact (e.g., improving conversion, pipeline efficiency, or revenue outcomes).
- Strong hands‑on proficiency in SQL, Python, R, and experience working with large‑scale datasets and visualization tools.
- Solid expertise in at least one core area such as experimentation/causal inference, predictive modeling, or statistical analysis, with the ability to apply methods appropriately to business problems.
- Experience partnering with cross‑functional stakeholders (Marketing, Sales, Product, etc.), with the ability to influence decisions through clear communication and data storytelling.
- Proven ability to translate ambiguous business questions into structured analyses, and deliver actionable insights with follow‑through.
- Strong balance of execution and emerging strategic thinking—able to connect team work to broader business goals while staying close to the details.
- Comfortable operating in ambiguous, fast‑paced environments, with the ability to prioritize effectively and adapt to changing business needs.
The expected base pay range for this position is:
Bay Area California
$,000
Southern California
$,500
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