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 ForWe 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.
Skills Required
- 10+ years leading data, analytics, machine learning, or AI functions, including managing managers and scaling teams.
- Demonstrated success leading both analytics and machine learning organizations rather than a single discipline.
- Proven track record implementing AI solutions at organizational scale and measuring tangible business outcomes.
- Strong understanding of modern data platforms, analytics ecosystems, machine learning workflows, and AI technologies.
- Deep understanding of responsible AI practices, governance frameworks, bias mitigation, and customer-impact considerations.
- Ability to influence executives, present to boards, and simplify complex technical concepts for business audiences.
- Experience partnering across Product, Finance, Marketing, Legal, and Operations to deliver measurable business value through data.
- Experience managing data quality, governance, scalability, security, and cost optimization across modern data platforms.
- Authorization to work in the United States (completion of I-9 and E-Verify required).
What We Do
At PadSplit we’re disrupting the affordable housing industry by creating safe, attractive, and respectable co-living environments. Our mission is to solve our affordable housing crisis one room at a time while leveraging housing as a vehicle for financial independence. If you’re motivated by the conviction that working people should have a decent place to live, and want to do something about it, come join us!
