Manager 3, Data Science (Mailchimp)

Intuit is a global leader in financial and business management solutions, serving more than 150M consumers and 10M SMBs through products such as QuickBooks, TurboTax, Credit Karma, and Mailchimp. We are building a new Consumer–SMB Ecosystem business, a fast-growing startup inside Intuit, focused on driving the next stage of growth through innovation in fintech, digital marketing, loyalty, and AI-driven automation.

The Data Science team plays a critical role in shaping strategy, scaling new businesses, and delivering delightful customer experiences. Our mission is to accelerate decision-making through advanced models, insights, and experimentation that address our most important customer and business challenges.

We are seeking a Group Data Science Manager to help define strategy, deliver impactful models and insights, and drive measurable outcomes for Mailchimp, within the broader DS organization.

Responsibilities

• Develop the strategic vision for data science, defining success criteria, key metrics, and long-term goals to guide leadership decisions.

• Partner with Product, Engineering, Design, Marketing, Finance, and Operations to drive product strategy, experimentation, and customer impact and be accountable for revenue outcomes for the business.

• Build and apply predictive models, customer segmentation frameworks, and advanced experimentation methods (beyond A/B testing) to influence product and GTM strategies.

• Translate complex modeling outcomes into clear narratives and recommendations for both technical and executive audiences.

• Establish durable data science–driven processes across the product development lifecycle, from ideation through scaling.

• Lead strategic learning plans for product and marketing initiatives, including requirements for instrumentation, reporting, and experimentation.

• Own and prioritize the data science roadmap and backlog, ensuring high-value models and insights are delivered to the business.

• Mentor, coach, and develop other data scientists, raising the overall craft of the team and guiding their growth through technical reviews, feedback, and career development.

• Operate with speed and agility in a fast-moving environment, making data-backed decisions that drive measurable outcomes.

Qualifications

• 10+ years of experience in data science with proven business impact; experience in Product and Go-To-Market data science highly preferred.

• Strong technical foundation:

  • Advanced SQL and experience with large, structured/unstructured datasets.

  • Proficiency in Python and statistical/machine learning libraries (NumPy, Pandas, scikit-learn, etc.).

  • Experience with causal inference (e.g., propensity score matching, diff-in-diff, synthetic control).

  • Familiarity with Generative AI and agentic solutions to accelerate insights.

• Expertise in experimentation frameworks (A/B testing and beyond) and building scalable, reusable data science solutions.

• Experience with BI and visualization tools (Tableau, Qlik, Plotly Dash, etc.).

• Exceptional storytelling and communication skills, with the ability to influence senior leaders.

• Demonstrated success in boundaryless collaboration across complex orgs, partnering with global stakeholders.

• Ability to manage multiple initiatives simultaneously while meeting deadlines.

• Passion for mentoring, coaching, and building high-performing data science teams.

Preferred Additional Qualifications

• Experience in SaaS, fintech, or financial services industries.

• Proven track record of shaping data science strategy at scale for new or high-growth products.

• Familiarity with ecosystem dynamics (multi-product attach, cross-sell, customer lifecycle value).

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.