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Applecart

Social-graph analytics for targeted campaigns

Head of AI Adoption & Governance

Business OperationsUpdated on Nov 13
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 8 years of experience across some combination of technology risk, digital strategy, IT and systems implementation, enterprise transformation, or technical program management, including experience in a regulated or high-confidentiality environment.
  • Experience developing strategies to solve business problems with AI or other technology, rolling out processes, and implementing tooling with clear return on investment.
  • Working fluency with privacy and data protection frameworks, including GDPR, CCPA, and SOC 2, sufficient to make decisions and know when to bring in counsel.
  • Sufficient technical depth to engage with vendors on retention, model training, and access controls and obtain satisfactory responses.
  • Ability to own ambiguous decisions and defend them to executives and clients.
  • Experience in professional services, consulting, or another business built on client confidentiality.
  • Prior experience launching governance from scratch.
  • Strong written and verbal communication skills.
  • High attention to detail and strong organizational skills.

Responsibilities

  • Build the business case for AI by helping leaders identify where AI meaningfully changes how the company works and where it is a distraction.
  • Own the roadmap for internal AI adoption, determining which tools are used by which teams and in what order based on business needs and client impact.
  • Work with Legal to translate the company’s risk posture into guardrails and organization-wide guidance that AI users can apply with limited oversight; report to leadership on adoption, value delivered, and potential risks.
  • Design pilot and full rollout plans for tooling, including measuring each solution’s efficacy and return on investment.
  • Build and maintain a data classification scheme that explains which data AI users can enter into which tools and what data must remain within the company environment.
  • Operationalize individual client contractual obligations in AI usage processes for teams.
  • Protect client confidentiality by ensuring AI use respects separation of internal confidential data.
  • Define the incident path for potential AI-specific failures, including data exposure through a prompt, an unreviewed output sent to a client, or a vendor breach.
  • Run pilots for defined AI use cases with clear success criteria, and stop usage that does not work or scale.
  • Build enablement through training, prompt and use-case libraries, and identification of internal champions who help teams use tools effectively.
  • Partner closely with Security, Legal, IT, and Engineering leadership.
  • Set the strategy for internal AI rollout, including tool selection, data access, and prioritization of high-impact use cases.
  • Support platform leadership in identifying AI platforms that help teams work efficiently.
  • Handle AI tool provisioning, integrations, and day-to-day access alongside more junior systems support.

About the Company

Applecart

Social-graph analytics for targeted campaigns

Applecart uses advanced data science to map billions of social relationships and build detailed social graphs. It helps political campaigns, corporations, and nonprofits identify decision makers and their influential networks, enabling targeted advertising and advocacy campaigns. The product works by analyzing connections to identify key individuals and how they are linked, so clients can reach the right people with the right message. Revenue comes from access to the proprietary social graph technology and analytics, via subscriptions, consulting services, and performance-based pricing. What sets Applecart apart is its focus on the most influential individuals and networks through a proprietary social graph and analytics platform, aiming to deliver higher targeting precision and cost efficiency for campaigns and initiatives. The goal is to maximize impact for clients while minimizing costs by reaching the appropriate decision makers and their networks.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$114.5M
Headquarters
New York City, New York
Founded
2013

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