What are the responsibilities and job description for the Delivery Manager - Finance position at Turing?
Location: San Francisco, California, United States
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: Delivery 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
Delivery Ownership: Define and execute delivery plans for finance datasets — including project scheduling, resourcing, and risk management.
Lifecycle Management: Oversee the complete dataset delivery lifecycle — from requirement gathering and specification design to annotation, QA, and client handoff.
Finance Domain Collaboration: Work closely with finance SMEs to convert complex financial concepts (e.g., sell-side, buy-side, trading desks, investment banking, private equity, compliance) into dataset and annotation requirements.
Quality Assurance: Set and uphold quality benchmarks for accuracy, consistency, and completeness; provide performance reports and delivery metrics.
Operational Scaling: Build and manage internal and external teams; identify process bottlenecks and recommend tooling or automation for improved throughput and quality.
Risk & Issue Management: Anticipate delivery challenges such as delays, data inconsistencies, or scope changes and develop mitigation strategies.
Stakeholder Management: Serve as the primary point of contact for clients and internal teams; manage expectations, communication, and escalation.
Process Optimization: Develop and refine SOPs, delivery dashboards, and KPIs; promote a culture of continuous improvement.
Financial Oversight: Monitor and control budgets, vendor costs, and resource utilization to ensure delivery within defined financial targets.
Team Development: Mentor delivery leads and team members; foster best practices for high-performance dataset operations.
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.