Data Excellence Manager - Finance, San Francisco

Turing • San Francisco, CA

45d • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 1-10 employees