FinOps Platform Engineering, Sr. Manager

Responsibilities:

• Design, build, and maintain the tooling and integrations that connect cost and usage data sources — AWS, Snowflake, and HDC (our clinical data cloud) — into a unified FinOps platform.
• Build automated tagging enforcement and validation pipelines against the framework defined by the FinOps Architect, so compliance is built in at deploy time, not checked after the fact.
• Build self-service tools and APIs that let Engineering, Product, and Finance pull their own cost and usage insights on demand — treating internal stakeholders as customers of a product, not requesters in a queue.
• Own the data pipelines feeding executive and team-level dashboards (ThoughtSpot, Unified Portal), including reconciliation logic that ties attributed and unattributed spend back to the invoice — automating what would otherwise require manual analysis.
• Automate cost allocation, showback/chargeback calculations, and unit-economics computations (e.g., cost per trial, cost per environment).
• Instrument and meter AI/LLM usage and spend across providers — token-level telemetry, attribution to teams and workloads, and integration with gateway and measurement tooling — so AI cost is as visible and governable as cloud cost.
• Build integrations with vendor and procurement systems to automate renewal tracking, contract data ingestion, and scorecard generation.
• Build anomaly detection and automated alerting on cost and usage data, closing the gap between a monthly report and a real-time signal.
• Build automation to audit and optimize Savings Plan / Reserved Instance coverage, rather than tracking it manually.
• Partner with Engineering to instrument systems for cost and usage telemetry at the source, including detection of cost regressions introduced by code and configuration changes.
• Own the technical roadmap for FinOps tooling, including build-vs-buy decisions on platform components.
• Apply standard engineering rigor — version control, testing, CI/CD — to the FinOps tooling stack.
• Promote a culture of accountability, continuous improvement, and data-driven decision making.

Qualifications:

• 7+ years of experience in Software Engineering, Data Engineering, Platform Engineering, or DevOps, with a Bachelor's degree; hands-on experience building FinOps or cloud cost management capabilities, products, or services is a strong plus.
• Demonstrated fluency building with AI coding tools (Claude Code, Cursor, or comparable) as an integral part of your production engineering workflow.
• Hands-on engineering skills: proficiency in Python or a comparable language, strong SQL, and experience designing APIs and data pipelines.
• Hands-on expertise with AWS and Snowflake, including integrating with cloud provider billing and usage data (e.g., AWS Cost & Usage Reports, Snowflake usage views) and BI/analytics platforms (e.g., ThoughtSpot, Tableau).
• Experience with infrastructure-as-code and automation (e.g., Terraform, CI/CD) sufficient to enforce tagging and policy at deploy time.
• Ability to design and ship self-service tooling for internal stakeholders — a product mindset applied to an internal function.
• Experience building alerting or anomaly-detection systems, or automating financial/operational calculations, is a plus.
• Experience metering or governing AI/LLM usage and spend (token-level cost attribution, LLM gateways, or usage telemetry) is a plus.
• Ability to work independently to stand up new integrations with minimal direction, in service of a standalone, self-sufficient FinOps function.
• Strong communication skills, with the ability to partner closely with the FinOps Architect (technical framework design) and Program Manager (delivery cadence).
• Exposure to regulated or compliance-driven environments is a plus.

As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region.

The salary range for positions that will be physically based in Iselin, NJ is $114,750- $153,000. 

Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides benefits, including medical, dental, life and disability insurance, 401(k) matching, family leave, flexible paid time off; and 10 paid holidays per year.

Equal Employment Opportunity:

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

We will accept applications on an ongoing basis until we fill the position.

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