Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
We are seeking an experienced Senior Business Systems Analyst to join our Finance Systems team at Anthropic. Building on our recent go live on Workday Financials, you will serve as the internal functional lead for Workday Business Assets and Lease Management, owning the design and configuration of the systems and processes that govern the full lifecycle of Anthropic's assets and leases — from our rapidly scaling compute and data center infrastructure to our global real estate portfolio.
This is a critical role that will directly shape how Anthropic's finance organization operates as we scale toward public company readiness. Anthropic's asset base is growing at an extraordinary pace, and the accuracy of our capitalization, depreciation, and lease accounting (ASC 842) directly impacts our financial statements. You will work at the intersection of finance domain expertise and technical implementation, partnering with implementation partners, engineering teams, and finance stakeholders to build a world class asset and lease management foundation within Workday.
Business Assets Ownership: Serve as the internal functional lead for Workday Business Assets, owning configuration of asset books, asset classes, useful lives, depreciation profiles, capitalization rules, and CIP (construction in progress) tracking; drive design decisions, validate configurations, and ensure business requirements are met
Lease Management & ASC 842: Own end to end lease administration and lease accounting across Workday and dedicated lease management platforms for both real estate and infrastructure/compute leases — including lease classification, right of use assets and lease liabilities, amortization schedules, modifications and remeasurements, and ASC 842 disclosure reporting
Infrastructure Asset Lifecycle: Partner with Compute, Data Infrastructure, Procurement, Accounting, and other key stakeholders to manage high value technology infrastructure assets from procurement through capitalization, transfers, and retirement; design componentization, tagging, and tracking approaches for data center and compute hardware at scale, with asset records structured to meet international regulatory, statutory, and cross border compliance requirements.
ERP Core Financials (R2R Support): Support the broader Workday Financials platform as a secondary focus, ensuring FDM alignment (Worktags, account posting rules, dimensional hierarchies) for asset and lease transactions; partner with consultants on future phase / net new implementations impacting assets and leases
Reporting & Close Support: Build and maintain asset rollforwards, depreciation forecasts, lease disclosure schedules, and reconciliations; support month end and quarter end close activities for fixed assets and leases, managing defects and data quality issues as they arise
Cross Functional Collaboration: Collaborate with Integrations, Security, and Financials configuration teams to align master data, journals, controls, and performance service level agreements; partner with Real Estate & Workplace, Legal, FP&A, and Tax on the lease pipeline and capital planning
Platform Expansion & Adoption: Work closely with engineering teams and business stakeholders to drive ongoing expansion and adoption of the Workday platform (e.g. biannual releases), identifying opportunities for process improvement and automation across the asset and lease lifecycle
Have 8+ years of experience in finance systems, ERP implementation, or business systems analysis roles, with at least 5 years of hands-on Workday Financials (experience including Business Assets), lease management, inventory or asset management software. experience.
Possess deep expertise in Workday Business Assets configuration, including asset books, depreciation methods, capitalization thresholds, CIP tracking, mass asset transactions, transfers, and disposals
Have hands-on experience with lease accounting under ASC 842 in major lease management platforms (e.g. CoStar, FinQuery/LeaseQuery, Visual Lease)
Possess a strong understanding of fixed asset accounting processes, including capitalization policies, useful life determination, impairment assessment, and asset level reconciliation to the general ledger, along with an understanding of SOX and compliance requirements.
Have experience managing high value technology infrastructure assets, such as, data centers, compute hardware, networking equipment, and understand the operational realities of tracking physical assets at scale
Are skilled at translating complex business requirements into technical solutions, bridging the gap between finance stakeholders and technical implementation teams
Have experience with full ERP implementation lifecycles, including requirements gathering, configuration, testing, data migration, cutover planning, and hypercare
Have excellent stakeholder management and communication skills, with ability to work effectively with finance leadership, accounting teams, and technical partners
Are comfortable working in fast paced, high growth environments with evolving requirements and tight timelines
CPA certification, or a strong background in accounting or finance, with understanding of GAAP/IFRS reporting requirements, including IFRS 16 lease accounting
Experience with lease portfolios from dedicated platforms (e.g. FinQuery/LeaseQuery, Visual Lease, CoStar).
Experience assessing embedded leases within cloud, hosting, and service contracts under ASC 842
Experience with Workday FDM design, Prism Analytics, or Accounting Center for asset and lease journal automation
Technical familiarity with Claude suite, SQL, Workday WQL/RaaS reporting, BigQuery, Workday Studio/Core Connector, Python
Knowledge of SOX compliance requirements and internal controls for fixed asset and lease accounting cycles
Familiarity with Workday Procurement and Supply Chain, including PO to asset flows and supplier invoice integration points
Prior experience at high growth technology companies scaling toward IPO readiness, ideally with significant capital expenditure programs
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$205,000—$270,000 USD
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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Anthropic is an AI safety company that develops large language models and AI systems, focusing on safety, interpretability, and reliability. The company creates AI products like Claude, an AI assistant, and serves enterprise customers, researchers, and developers seeking safer AI solutions.
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