Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Healthcare Data Analyst - REMOTE. In this role, you will play a crucial part in tackling fraud, waste, and abuse within Medicare programs through advanced analytics and machine learning. You will manage projects from inception to completion, collaborating with a team to deliver actionable insights. Your expertise will help inform decisions and enhance data-driven strategies, significantly impacting national healthcare outcomes. We seek someone who thrives in a remote environment and possesses strong communication skills to present complex findings to diverse audiences. - Manage analytics and machine learning projects from kick-off to completion. - Guide junior team members and conduct advanced statistical analyses. - Use predictive modeling to enhance efficiencies and business outcomes. - Partner with subject matter experts to deliver actionable findings. - Present analytics and insights to various stakeholders. - Identify opportunities within Medicare and Medicaid data. - Advocate for best practices in data management. - Communicate effectively with team members while working remotely. Qualifications - Bachelor's degree in Statistics, Computer Engineering, Applied Mathematics, or related area. - 5+ years of experience with healthcare claims data for fraud detection. - Minimum of 2 years managing team-based analytics projects. - Ability to simplify and explain data to both technical and non-technical audiences. - Proficiency in SQL and Python; familiarity with R for data science. - Experience with Databricks and/or Snowflake is advantageous. Benefits - Competitive salary range from $106,250 to $143,750. - Flexible work arrangements for a better work/life balance. - Comprehensive medical, dental, and vision plans. - 401(k) plan with company match. - 15 days of paid leave plus 10 holidays annually. - Paid Family Leave program. - Short and long-term disability insurance options. - Regular reviews of benefits to ensure competitiveness.

• Acting as a primary internal authority for Data Science and Analytics, ensuring technical accuracy, relevance, and industry alignment across all programmes. • Acting as the end-to-end owner of learning products, designing systemic educational solutions - such as internal AI tools or automated grading processes, to solve delivery challenges at scale. • Designing, developing, and continuously improving high-quality, production-ready learning content • Delivering engaging, high-impact workshops to adult learners in virtual classrooms • Providing pedagogical coaching and line management to the Analytics team. • Leading the pedagogical scoping and educational narrative for commercial bids, working alongside sales and operational teams to ensure technical deliverables are feasible. • Managing the end-to-end delivery cycle of complex learning projects, ensuring all technical and pedagogical milestones are met.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com About Turing Based in Palo Alto, California, Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilingualism, STEM and frontier knowledge; and leveraging that expertise to build real-world AI systems that solve mission-critical priorities for Fortune 500 companies and government institutions. Turing has received numerous awards, including Forbes's "One of America's Best Startup Employers," #1 on The Information's annual list of "Most Promising B2B Companies," and Fast Company's annual list of the "World's Most Innovative Companies." Turing's leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT. Role Overview We are seeking a FinOps / Expense Analyst to be the finance partner to Accounting and the business for end‑to‑end purchasing and operating expense processes. You will own day‑to‑day operations in expense management, support variance analysis and expense forecasting, and build crisp reporting packages for leadership. You will improve policy adherence, reduce “shadow spend,” and raise the signal‑to‑noise ratio in our opex so leaders can make faster, better decisions. Key Responsibilities - Serve as the Finance point of contact for Zip (intake/PO), Concur (T&E), and Ironclad (contracts); ensure requests flow efficiently with proper approvals and documentation. - Partner with Accounting on month‑end close for opex: accruals, reclasses, coding hygiene, and actuals vs. forecast reconciliations. - Build and maintain variance reporting (month‑over‑month, quarter‑to‑date, YoY) with clear drivers and recommended actions. - Support the FP&A Expense Lead on forecasting and budget refreshes; maintain driver‑based models at cost‑center and department levels. - Develop and deliver reporting packages and executive dashboards covering opex trends, run‑rate analyses, policy exceptions, and savings opportunities. - Stand up spend analytics and KPI frameworks (e.g., PO cycle time, policy compliance, non‑PO spend %, T&E per head, vendor concentration) and drive remediation. - Coordinate with Procurement/Legal on vendor diligence, contract terms, renewals, and consolidation opportunities. - Partner with Business Systems to enhance tooling, integrations, and AI‑assisted automation (document parsing, anomaly detection, policy checks). Qualifications - Experience: 3–6+ years in FP&A/FinOps/Accounting with hands‑on ownership of purchasing and expense workflows. - Tools: SQL and BI tooling experience required; strong Excel/Google Sheets; NetSuite (or similar ERP) and Salesforce exposure preferred. - Operating rigor: Detail‑oriented, organized, and deadline‑reliable; comfortable building processes that scale. - Business partnering: Effective at working across Accounting, Legal, RevOps, and budget owners; diplomatic but firm on policy. - Analytics: Strength in variance analysis, forecasting, and KPI design; able to translate data into action. - Mindset: Proactive problem‑solver who seeks automation and drives outcomes. Why Join Turing - Play a foundational role in shaping how financial strategy supports a category‑defining company. - Remote‑first culture with autonomy, flexibility, and high standards. - A seat at the table in a company redefining what’s possible with applied AI. - Competitive compensation with meaningful equity. Values: - We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. - We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection - We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing: - Amazing work culture (Super collaborative & supportive work environment; 5 days a week) - Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) - Competitive compensation - Flexible working hours Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

This is not a data analyst or data engineer role. No hands-on scripting or pipeline development expected. - Program Manager who understands data integration, migration, manipulation, and data management processes well enough to lead requirements and dependency conversations between business and technical teams. - Operates in a heterogeneous environment with no single “destination” platform; success requires comfort with ambiguity and creating structure from scratch. Must-Have Qualifications - Senior Program Manager / Delivery Lead experience - Experience leading large-scale data migration or data integration programs (as an owner/driver, not as a coder) - Strong understanding of ETL/ELT concepts, data dependencies, data validation/reconciliation, and cutover planning for analytics/reporting - Familiarity with common data and analytics platforms/tools (e.g., Snowflake, Tableau, Power BI, Oracle, SQL databases) - Experience working with business systems data (e.g., Salesforce, Workday, HR/payroll, ERP) and understanding cross-system data flows - Ability to reduce ambiguity: define plans, roles, artifacts, and operating cadence when standards/processes are not established - Executive presence and professional communication in high-visibility meetings; can lead discussions with business and engineering stakeholders and drive decisions Nice to have: - Prior M&A / acquisition integration exposure (not required) - Experience evaluating tooling options and discussing licensing models and tradeoffs at a practical level - Time zone alignment with CST / MST stakeholders Not a fit: - Data engineers, BI developers, or analysts whose primary job is building pipelines, writing scripts, or dashboard development - PMO-only roles that track tasks without domain ownership of data integration outcomes - Governance-only or reporting-only roles without migration/integration accountability