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Data Excellence Manager - Finance, San Francisco

Data Excellence Manager - Finance, San Francisco

TuringSan Francisco, CA, United States
3 days ago
Job type
  • Full-time
Job description

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

Job Title : Data Excellence Manager - Finance

Location :

San Francisco (SF), Hybrid (2-3 Days a week)

Overview

We're seeking an experienced Delivery Manager to oversee the end-to-end execution of finance-domain datasets powering large language models (LLMs). In this role, you will lead cross-functional teams of finance experts, data annotators, QAs, and client partners to ensure on-time, high-quality, and cost-effective dataset delivery. You'll drive operational excellence, scale delivery capabilities, and continuously refine processes to enhance productivity and quality.

  • Key Responsibilities

Define the Financial Taxonomy : Design and maintain the canonical taxonomy for financial concepts, workflows, and document types (models, memos, CIMs, TAM analysis, NDAs, etc.) to guide model training and evaluation.

  • Domain Leadership : Serve as the finance subject matter authority, ensuring that all model training datasets align with best practices across investment banking, private investing (PE, growth, VC)
  • Data Frameworks & Standards : Define data collection, labeling, and evaluation standards to ensure consistency, interpretability, and financial rigor in all training materials.
  • Financial Modeling & Valuation Oversight : Set quality benchmarks and review frameworks for model accuracy across DCFs, LBOs, comparables, merger models, and returns analyses..
  • Investment & Market Analysis : Develop structured templates and data patterns for qualitative analyses and investment memos..
  • M&A & Deal Process Modeling : Encode and standardize processes for CIM evaluation, NDA / legal document understanding, and deal sourcing workflows for AI use.
  • Practice Leadership : Build and lead a team of financial experts to continuously refine and expand the finance knowledge base used for model training.
  • Quality Assurance : Establish metrics and review loops to evaluate model outputs and ensure fidelity to financial logic and standards
  • Required Qualifications

  • Master's or PhD in Finance, Accounting, Business Administration, Data Science, or a related field.
  • 5-8+ years of delivery or program management experience in data, analytics, or AI projects.
  • Strong understanding of finance workflows (investment banking, PE / VC, trading, sales, compliance, risk).
  • Proven experience leading data annotation, dataset generation, or data pipeline projects for AI / ML applications.
  • Excellent communication and stakeholder management skills.
  • Strong analytical and organizational capabilities; thrives in a fast-paced, evolving environment.
  • Experience managing vendors / outsourced teams with defined SLAs, KPIs, and quality metrics.
  • Familiarity with annotation platforms, QA tools, and dataset version control systems.
  • Competence in budgeting, forecasting, and resource planning.
  • Preferred Qualifications

  • Advanced degree (Master's / PhD) in Finance or relevant certifications (e.g., PMP, Prince2).
  • Experience in financial services operations or creating datasets for finance-focused AI models.
  • Background in global delivery and remote team management.
  • Understanding of AI / ML data lifecycle and annotation best practices.
  • Hands-on experience developing delivery dashboards, metrics, or automation solutions for scaling dataset operations.
  • 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.

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