Director Data Science

4 weeks ago

San Diego CA, United States Intuit Inc. Full time

Overview

Do you want to lead a team that builds and deploys Artificial Intelligence (AI) technologies that serve >200M people around the world? Do you want to join a team whose mission is to power prosperity around the world with AI and Data? Do you have the vision and drive to make strategic decisions, build cutting-edge technology, create a high performance culture, and deliver great results for customers around the world?

We are searching for a leader to lead Machine Learning & AI for our consumer and small business ecosystem of products and services. Using your deep knowledge of Machine Learning & AI, you will translate complex business requirements into a bold strategy, galvanize a team around it, and deliver trajectory-changing results. You will work in an energizing, growth mindset environment with disruptive thinkers and bring your whole self to work every day.

We are looking for a creative, passionate, enthusiastic and experienced leader who will collaborate with senior leaders, peers and stakeholders, to develop priorities, roadmaps, and deliver game-changing ML & AI products and capabilities. The leader should possess a sound understanding of, and practical experience, building large-scale data and AI products and platforms and a relentless focus on engineering and operational excellence. We embrace entrepreneurs and also those who come from established corporations.

Responsibilities

Responsibilities

    • Technology Strategy - Creating the 3/1-year vision for TurboTax and our Growth and Engagement function by partnering with business stakeholders in engineering, product management, design, analytics, and customer success. Organizes the team to deliver against top business priorities and proactively re-prioritize as shifts occur in the year.
    • Boundaryless Collaboration – Ideates, builds and tests new AI models and capabilities that deliver breakthrough growth, increased user adoption, and better together experiences. Works with partners in Tech as well as BUs/FGs to prioritize what’s important, create roadmaps for delivery, and own the delivery of key AI experiences that deliver customer benefit as well as critical business KPIs.
    • Operational & Engineering Excellence - Result-oriented and deliver huge outcomes. Sets clear objectives and goals for the team and enables the team to deliver and use operating mechanisms to continually assess progress and improve. Establishes the data driven processes needed to achieve operational & engineering excellence. Foster Engineering culture within the team and across organizations
    • People Leadership - Lead and develop a diverse, high-performing organization of AI scientists and engineers as well as evangelize and democratize AI with partners. Is a talent steward both within their organization as well as peer organizations. Nurture and retain senior talent including Machine Learning Engineering Managers, Data Science Managers and Architects, and acts as a coach across the organization. Develops and drives strategy to hire, develop and mobilize talent for the organization
    • Speed as a Habit – can operate in a fast-moving environment, make quick data driven customer backed decisions and execute fiercely to deliver outcomes
    • Customer Obsession – is a staunch advocate for customers, both internal and external. Stays close to customer problems and solves for them with urgency
    • Demonstrated expertise in building and leading successful large scale AI models and platform capabilities for consumer products
    • Commitment to diversity, equity, and inclusion with the demonstrated ability to hire and retain diverse talent
    • Strong leadership and communication skills
    • PhD in a related field is highly desirable.

Qualifications

    • Strong business acumen. Understands the business' internal and external landscape and thinks/acts strategically for all stakeholders
    • Strong interpersonal skills and ability to work effectively across teams, functional groups
    • Experience in scaling world-class engineering teams
    • Experience working with one of the leading public clouds (AWS, Google, Azure)
    • Experience building and leading ML/AI teams
    • Deep knowledge of ML/AI applications and their use in driving customer benefits
    • Passion for being at the leading edge of technology with a minimum of 10+ years of hands-on development experience and experience as a manager of managers leading AI and data science teams
    • Very strong leadership skills, demonstrating the ability to create compelling visions, galvanize teams around the vision, execute with high operational rigor and deliver measurable results for customers.
    • Proven success in building, motivating and retaining teams of star players
    • A highly technical and result-oriented leader experienced in determining goals and matching those with customer requirements and product roadmaps
    • Adept at leading positive change, empowering people, cultivating product technology visions and innovative solutions, and fostering effective engineering teams
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