Key Responsibilities:
Vision and Strategic Leadership
Define and own the multi-year vision for a Claude-enabled Finance ecosystem, translating Anthropics AI capabilities into measurable operational impact across all finance and accounting business processes and systems
Establish Finance Systems as the internal gold standard for AI-powered enterprise operations, positioning the team as a model for AI adoption across the broader organization
Partner closely with Anthropics internal product and research teams to surface Finance use cases, influence model capabilities, and bring cutting-edge AI research into production finance workflows
Represent Finance AI priorities in cross-functional forums and with executive leadership, communicating progress, risks, and strategic direction with clarity and conviction
Serve as Anthropics external voice on Finance AI engaging with various advisory networks, industry working groups, and peer communities to shape how the profession approaches AI-enabled Finance transformation
Team Leadership and Development
Hire, mentor, and develop a small but high-impact team of Finance AI Product Managers and Engineers, building a culture of experimentation, ownership, and continuous learning
Establish clear roles, career paths, and operating rhythms for the AI and Innovation pod, ensuring team members grow into industry-leading Finance AI practitioners
Partner across the finance department and Head of SOX/IT Controls to ensure AI initiatives are sequenced, governed, and delivered in alignment with the broader transformation portfolio
Product Development and Roadmap
Own the Finance AI product roadmap prioritizing use cases, managing the backlog, and driving features from ideation through production deployment
Lead intake, triage, and routing of bug reports, defect tracking, and enhancement requests across the Finance AI platform, maintaining clear visibility into product health and velocity
Oversee UX and design quality of Claude-powered Finance tools, ensuring solutions are intuitive, delightful, and trusted by Finance end-users
Build and own a Finance AI Agent Registry a centralized portfolio strategy for all deployed agents across Finance and Enterprise systems, defining how agents are discovered, evaluated, scaled, and retired as the agent landscape matures
Lead evaluation and selection of Finance-specific AI SaaS tools, partnering with internal technology and data infrastructure teams on architecture and integration decisions
Data Foundation and Infrastructure
Partner closely with data infrastructure and the finance analytics and BI team to define the structured data layer powering AI-driven reporting, anomaly detection, and decision support ensuring Finance AI is built on a reliable, well-governed data foundation
Ensure AI agents are built on reliable, audit-ready data foundations (SQL/deterministic retrieval layer) before applying AI synthesis and interpretation on top
Collaborate with Finance Systems Engineers to design and maintain data pipelines, data lake environments, and integration architectures that support safe AI experimentation and production deployment
Enablement, Governance and Community
Design and lead Finance AI onboarding and employee journey programs building the training curriculum, certification pathways, and ongoing education cadence that drives adoption across the Finance organization
Partner with the Internal Audit and Governance team to develop Finance-specific AI usage policies, responsible AI frameworks, and audit-ready documentation for deployed agents
Enforce SOX-compliant AI governance frameworks in close partnership with the Head of SOX/IT Controls, ensuring AI deployments meet ITGC requirements and external audit standards
Organize internal innovation events, creating space for experimentation, cross-functional collaboration, and identification of the next generation of AI use cases
Build a Finance AI peer community hosting internal and external events, publishing learnings, and deepening Anthropics relationships with firm advisory networks and Finance AI industry forums to advance the field and strengthen Anthropics brand as an AI-first organization
Minumum Qualifications:
Have led AI, automation, or digital transformation programs in a Finance or Enterprise @context, with hands-on experience taking AI/LLM solutions from proto@type to production
Possess deep Finance domain knowledge across multiple functions (OTC, P2P, FPandA, accounting, close) and understand how AI can materially change how Finance work gets done
Bring established relationships and active engagement within Big 4 advisory communities (Deloitte, PwC, EY, KPMG) and are recognized as a thought leader in Finance AI or enterprise Finance transformation
Have built and developed high-performing technical and product teams, with a coaching mindset and the ability to grow early-career practitioners into domain experts
Are a skilled cross-functional leader with a proven ability to influence and align stakeholders across Finance, Engineering, Data, IT, and executive leadership
Bring strong product instincts you think about user experience, adoption, and measurable outcomes, not just technical capability
Have experience working in high-growth or scaling technology companies, and understand the compliance, governance, and control requirements of a maturing enterprise Finance function
Are deeply curious about AIs potential, excited to work directly alongside the teams building frontier models, and motivated by the opportunity to define what Finance AI looks like at Anthropic and for the industry
Preferred Qualifications:
Have 15+ years of experience spanning Finance operations, enterprise technology, and product or program leadership, with a demonstrated track record of leading large-scale transformation initiatives
A background in Big 4 advisory (Deloitte, PwC, EY, KPMG) in a Finance transformation, Finance systems, or AI/digital practice with an active professional network and a track record of publishing, speaking, or advising in the space
Hands-on experience building with LLM APIs (including Claude) or deploying AI agents in enterprise Finance workflows
Familiarity with SOX 404(b) compliance, ITGC controls, and the intersection of AI governance with financial audit requirements
Experience with Finance data platforms (BigQuery, Snowflake), ETL pipelines, and the data architecture patterns that underpin reliable AI-driven Finance reporting
Background in ERP ecosystems and the systems integration challenges of deploying AI across multi-system Finance stacks
Experience with change management frameworks and organizational enablement programs at scale particularly driving adoption of novel tooling in Finance functions
Conference speaking, published writing, or active participation in Finance AI industry working groups with a presence that elevates Anthropics reputation in the field
::: {style="margin: 0px; padding: 0px; font-si
"}
:::
