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Director of Data & AI - Post Purchase and Innovation

Pay
Pay not listedSimilar roles state $154K–$225K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

We’re looking for a business-minded Director of Data & AI to own and scale data and AI capabilities across our Post-Purchase and Innovation ecosystem.

Think of this role as a General Manager for Data & AI in this space: setting the vision, shaping the roadmap, and turning data into measurable business impact.

  • Define the data and AI strategy and roadmap for post-purchase and innovation

  • Hire and lead a cross-functional team of data scientists, analysts and data product managers

  • Lead experimentation design, measurement frameworks and testing strategies

  • Oversee design and deployment of algorithms and models that cut cost and improve customer experience

From the employer’s posting
We’re looking for a business-minded Director of Data & AI to own and scale data and AI capabilities across our Post-Purchase and Innovation ecosystem. This role sits at the intersection of strategy, technology, and customer experience—spanning fulfillment, returns, call center operations, experimentation, and emerging channels such as marketplace partnerships (on-demand fulfillment, social selling, wholesale, and beyond).
Think of this role as a General Manager for Data & AI in this space: setting the vision, shaping the roadmap, and turning data into measurable business impact. You’ll partner closely with Product, Engineering, and business leaders to prioritize investments, guide innovation, and ensure data and AI are core to how we operate and grow.What You'll Do
Define and lead the data and AI strategy for Post-Purchase and Innovation
Hire, lead, and inspire a cross-functional team of data scientists, analysts, and data product managers
Lead experimentation design, measurement frameworks, and testing strategies across initiatives
Oversee the design, development, and deployment of algorithms and models that improve efficiency, reduce cost, and elevate customer experience

What you’ll bring

All qualifications

Core experience

  • Proven experience leading data and/or data science teams
  • Strong hands-on Python and SQL skills
  • Exceptional leadership, communication, and influence skills
  • Track record of building teams and delivering business outcomes through data
Qualification wording
Proven experience leading data and/or data science teams
Strong hands-on foundation in Python and SQL
Exceptional leadership, communication, and influence skills
A track record of building teams, driving strategy, and delivering real business outcomes through data
Apply at Gapinc

Posting record

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Status in our records
Live
First seen by us
Aug 27, 202668 days ago
Recorded sightings
153
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 68

Up longer than most. Similar jobs usually come down between day 7 and day 53.

From 7,814 similar postings that came down. Coming down is not always a hire.

Gapinc is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
Hiring record

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  • Python
  • SQL
Where the posting names them
- Proven experience leading data and/or data science teams, ideally in fulfillment, returns, or innovation-driven environments - Strong hands-on foundation in Python and SQL, with the ability to guide technical direction - Retail or marketplace experience strongly preferred

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

About the Role

We’re looking for a business-minded Director of Data & AI to own and scale data and AI capabilities across our Post-Purchase and Innovation ecosystem. This role sits at the intersection of strategy, technology, and customer experience—spanning fulfillment, returns, call center operations, experimentation, and emerging channels such as marketplace partnerships (on-demand fulfillment, social selling, wholesale, and beyond).

Think of this role as a General Manager for Data & AI in this space: setting the vision, shaping the roadmap, and turning data into measurable business impact. You’ll partner closely with Product, Engineering, and business leaders to prioritize investments, guide innovation, and ensure data and AI are core to how we operate and grow.

What You'll Do

Set the Vision

  • Define and lead the data and AI strategy for Post-Purchase and Innovation, aligning it tightly with company priorities and customer outcomes

  • Partner with executive leadership to influence technology investment decisions, trade-offs, and long-term roadmap planning

  • Drive smarter usage and optimization of existing platforms across Fulfillment, Returns, and Customer Support using data-driven insights

Build and Lead a High-Impact Team

  • Hire, lead, and inspire a cross-functional team of data scientists, analysts, and data product managers

  • Create a culture of ownership, curiosity, and delivery—coaching the team on both technical excellence and business impact

  • Deliver complex initiatives in collaboration with Engineering, Data Engineering, Product, and Business teams

Drive Experimentation & Learning

  • Champion a test-and-learn mindset, embedding experimentation into how technology decisions are made

  • Lead experimentation design, measurement frameworks, and testing strategies across initiatives

  • Apply advanced analytical techniques to evaluate outcomes, run “what-if” scenarios, and provide clear recommendations

Advance Algorithms & AI

  • Oversee the design, development, and deployment of algorithms and models that improve efficiency, reduce cost, and elevate customer experience

  • Ensure models are scalable, explainable, and aligned with real-world operational needs

Be a Connector & Storyteller

  • Translate business challenges into actionable data and AI initiatives

  • Communicate complex technical concepts with clarity and confidence to non-technical partners

  • Present insights, progress, and recommendations to senior and executive leadership

Who You Are

  • Proven experience leading data and/or data science teams, ideally in fulfillment, returns, or innovation-driven environments

  • Strong hands-on foundation in Python and SQL, with the ability to guide technical direction

  • Retail or marketplace experience strongly preferred

  • Exceptional leadership, communication, and influence skills

  • A track record of building teams, driving strategy, and delivering real business outcomes through data

Source details

View original posting ↗

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SF - 2 Folsom

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