AI Strategy and Process Lead

Job Description

Job Description

Career Renew is recruiting for one of its clients an AI Strategy and Process Lead - this is a fully remote role for US-based candidates. Salary range: 140-220K USD yearly plus benefits plus equity.

We are the leading provider of innovative identity and risk solutions and we empower institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Our solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others.

We are looking for an AI Strategy and Process Lead with 5+ years of experience to institutionalize the use of AI across our core business processes. This is a crucial role for a builder who combines operational rigor with pragmatic technical fluency to drive durable productivity gains and build scalable institutional capability.

What will you be doing?

• Partner with functional leaders to identify high-leverage processes suitable for AI enablement.
• Lead the end-to-end deployment of AI tools and workflow redesign across pilot functions.
• Define standardized metrics to assess AI impact and establish dashboards to track performance.
• Develop and document a repeatable AI evaluation and implementation framework.
• Present regular updates to executive leadership on outcomes, risks, and expansion opportunities.

Key Requirements

• 5+ years of experience in process transformation, operations, automation, or strategic initiatives.
• Demonstrated success delivering measurable productivity, cost, or quality improvements.
• Practical familiarity with AI tools, workflow automation platforms, and modern productivity systems.
• Strong analytical capability with comfort defining metrics and evaluating ROI.
• Proven ability to influence cross-functional stakeholders and drive adoption without direct authority.