PadSplit Logo

PadSplit

Vice President, Data & AI Strategy (Fully Remote)

Reposted 4 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Atlanta, GA
Expert/Leader
In-Office or Remote
Hiring Remotely in Atlanta, GA
Expert/Leader
Lead enterprise data and AI strategy, unify BI, analytics, and ML teams, prioritize ML initiatives, govern data platform health and responsible AI, partner cross-functionally to deliver measurable business outcomes, and advise executives on AI adoption and technology choices.
The summary above was generated by AI
The Role We Need

PadSplit is looking for a Vice President, Data & AI Strategy to transform data, machine learning, and artificial intelligence into a strategic advantage that improves outcomes for our members, hosts, and business. Reporting directly to the CTO, this leader will oversee our Analytics, Machine Learning, and AI functions while driving responsible AI adoption across the company. This role will ensure our data and AI investments generate measurable business impact while maintaining the trust and ethical standards our mission demands.

The Person We Are Looking For

We are looking for an experienced executive who has successfully led integrated data, analytics, and machine learning organizations and has personally driven AI adoption at scale. The ideal candidate combines strong technical judgment with business acumen, helping leaders separate meaningful opportunities from hype while translating complex concepts into action. They are a pragmatic, mission-driven leader who can influence executives, develop teams, and ensure data and AI are deployed responsibly to improve people's lives.

Here's What You'll Be Doing Day-to-Day:

  • AI Strategy Leadership: Define and execute PadSplit's company-wide AI strategy, including adoption goals, governance standards, enablement programs, and business impact measurement.
  • Organization Leadership: Lead the Analytics, Business Intelligence, Machine Learning, and AI enablement teams as a unified data and AI organization.
  • Roadmap Ownership: Drive the machine learning and predictive analytics roadmap, including pricing optimization, risk modeling, search relevance, and future AI-powered capabilities.
  • Data Platform Management: Oversee the health, quality, governance, scalability, and cost efficiency of PadSplit's data ecosystem.
  • Responsible AI Governance: Partner with Legal and executive stakeholders to establish ethical AI standards and responsible deployment practices.
  • Product Partnership: Collaborate with Product teams to build data-driven experiences and predictive features that improve member and host outcomes.
  • Executive Decision Support: Translate data and analytics into actionable insights that influence decisions across Product, Finance, Marketing, and Operations.
  • Technology Evaluation: Assess emerging AI and machine learning technologies and determine where they can create meaningful business value.

Here's What You'll Need to Be Successful:

  • Executive Leadership: 10+ years of experience in data, analytics, machine learning, or AI leadership roles, including experience managing managers.
  • Integrated Team Leadership: Proven success leading both analytics and machine learning functions within a single organization.
  • AI Deployment Experience: Demonstrated track record implementing AI solutions at scale and measuring business outcomes.
  • Technical Expertise: Strong understanding of modern data platforms, machine learning systems, analytics tooling, and AI technologies such as Snowflake, dbt, and Hex.
  • Ethical AI Perspective: Clear point of view on AI governance, responsible deployment, bias mitigation, and customer impact.
  • Executive Communication: Ability to influence senior leaders, present to boards, challenge assumptions, and simplify complex technical concepts.
  • Cross-Functional Partnership: Experience working across Product, Finance, Marketing, Legal, and Operations to deliver business outcomes through data.
  • Data Platform Stewardship: Hands-on familiarity with modern data stacks and experience managing data quality, governance, and platform costs.

The Interview Process:

  • Your application will be reviewed for possible next steps by the Hiring Manager.
  • If you meet eligibility requirements, the next step would be a phone call with a member of the PeopleOps team for about thirty (30) minutes.
  • If warranted, the next step would be a video interview with our CTO for one (1) hour.
  • If warranted, the next step would be a video panel interview with members of our leadership team for one (1) hour.
  • If warranted, the next step would be a video panel interview with key stakeholders at PadSplit for two (2) hours.
  • The panel interview will require a candidate to work on a data assessment where you will showcase your data and AI skills to the panel for discussion. 
  • If warranted, the final interview would be with our CEO.
  • If warranted, then we move to offer!

Compensation, Benefits, and Perks:

  • Fully remote position - we swear!
  • Competitive compensation package including an equity incentive plan and company-wide bonus opportunity
  • National medical, dental, and vision healthcare plans
  • Company provided life insurance policy
  • Optional accidental insurances, FSA, and DCFSA benefits
  • Unlimited paid-time (PTO) policy with eleven (11) company-observed holidays
  • 401(k) plan 
  • Twelve (12) weeks of paid time off for both birth and non-birth parents
  • The opportunity to do what you love at a company that is at the forefront of solving the affordable housing crisis

Please note: Although the job posting says it's in Atlanta, Georgia, this is a fully remote position. This is a result of our Applicant Tracking System requiring a location to post the role on LinkedIn.

 
Notice to Applicants:
 
PadSplit participates in E-Verify. All new employees are required to complete an I-9 form and be authorized to work in the United States. Employment is contingent upon successful completion of the E-Verify process.
 
PadSplit is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Similar Jobs

Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
110K-120K Annually
Senior level
110K-120K Annually
Senior level
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
Lead editorial strategy and the company blog to drive top-of-funnel growth. Pitch, write, and edit product-focused content; build and manage an editorial roadmap and calendar; collaborate with Product Marketing, Growth, and Product teams; optimize content for search and AI/LLM answers (GEO); coordinate contributors and approvals; use performance data to inform and optimize content.
Top Skills: Generative Engine Optimization (Geo)Large Language Models (Llms)SeoZeta Marketing Platform (Zmp)
Yesterday
Remote
United States
88K-116K Annually
Junior
88K-116K Annually
Junior
Artificial Intelligence • HR Tech • Information Technology • Software • Business Intelligence
Sell Qualtrics XM to Financial Services clients, drive net-new revenue and account expansion, manage full sales cycle from prospecting to close, build territory plans and forecasts, and engage C-suite and senior stakeholders while meeting quota and developing sales skills.
Top Skills: Linkedin Sales NavigatorQualtrics Experience Management (Xm)Salesforce
Yesterday
Easy Apply
Remote or Hybrid
USA
Easy Apply
185K-200K Annually
Mid level
185K-200K Annually
Mid level
Fintech • Real Estate • Software • Financial Services • PropTech
Provide legal support for vendor, technology, and commercial agreements; advise on powers of attorney and trust matters; support third-party risk management, contract management system implementation, litigation and regulatory matters; partner cross-functionally to enable scaling while managing consumer-financial regulatory risk.
Top Skills: Cloud ServicesContract Management SystemSaaSSoftware Licenses

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account