Delivery Manager - Finance at Turing

San Francisco, California, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Finance, Data AnnotationIndustries

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
Advanced degree (Master’s/PhD) in Finance or relevant certifications (e.g., PMP, Prince2) (preferred)
Experience in financial services operations (preferred)

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

Skills

Project Management

Delivery Management

Dataset Lifecycle

Finance Domain

Risk Management

Quality Assurance

Team Leadership

Resource Planning

Financial Concepts

Annotation

Client Management

Turing

AI-driven matching of businesses with engineers

About Turing

Turing provides tech services by using artificial intelligence to connect businesses with skilled software engineers for custom application development and on-demand engineering needs. The company has a large pool of over 3 million vetted engineers from 150 countries, allowing businesses to quickly find the right talent for their projects. When a company needs a developer, they specify the required skills, and Turing's AI matches them with the best candidates, streamlining the recruitment process and helping companies complete projects faster. Turing also supports engineers by offering access to high-paying remote job opportunities in the U.S., with a high rematch rate ensuring job stability. The goal of Turing is to enhance recruitment efficiency for businesses while providing valuable job opportunities for engineers.

Palo Alto, CaliforniaHeadquarters

2018Year Founded

$132.3MTotal Funding

SERIES_DCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Risks

Competition from platforms like DevZero offering cloud-based development environments.

Crowded market with new AI-driven talent platforms like Gaper and Aloa.

Potential brand confusion with South Korean company Turing Co.

Differentiation

Turing uses AI to match businesses with over 3 million vetted engineers.

Turing's Talent Cloud accelerates team building, similar to scaling servers on AWS.

Turing offers a 99% rematch rate for engineers, ensuring job stability.

Upsides

Remote work trend boosts demand for Turing's remote engineer connections.

Global tech talent shortage increases reliance on Turing's AI-powered talent matching.

Turing's AI-driven recruitment tools enhance hiring efficiency and accuracy.

Land your dream remote job 3x faster with AI

Try Jobo Free