---
title: 'Data & AI - Technical Project Manager at CFGI'
canonical: 'https://feeny.ai/job/data-ai-technical-project-manager-cfgi-singapore-0n2dbft3dnpj'
type: 'job'
last_seen: '2026-10-14'
---

# Data & AI - Technical Project Manager at CFGI

- **Company:** CFGI
- **Location:** Singapore
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.lever.co/cfgi/c3c8f47e-0c30-458b-a74f-53cd6dc09137

## Job description

Data & AI – Technical Project Manager

CFGI, founded in 2000, is a dynamic and fast-growing financial consulting firm, serving as the trusted partner to CFOs and their organizations. We help clients tackle complex challenges across accounting, financial reporting, transactions, regulatory compliance, digital transformation, data analytics, and artificial intelligence. We blend deep technical expertise with a hands-on, entrepreneurial approach to help the world’s leading companies move forward with confidence.

CFGI is expanding its Data & AI practice across Asia-Pacific and is seeking a Technical Project Manager to lead client delivery. You run data-engineering, artificial-intelligence-engineering and strategy engagements from contract signature to client acceptance, and engineering work through to production handover. You lead a team of engineers, run delivery on agile principles and act as the client's day-to-day point of contact.

You will deliver client data and artificial-intelligence engagements on time, on budget and to the agreed scope. Our engagements run end to end and across the full stack. They span data strategy and architecture, data platforms and pipelines, agentic and generative-artificial-intelligence solutions, and the operation of those solutions in production. You turn the signed statement of work into a plan and a backlog, and you lead the team that delivers it.

This is a technical role, not just a coordination role, so deep engineering experience is required to challenge an estimate, read an architecture and judge a technical trade-off with the architect. Artificial-intelligence work can add uncertainty from data, evaluation and model behaviour. You plan for that with time-boxed experiments, acceptance criteria based on evaluation results, and early checks on whether the client's data is ready.

What you might expect: Mobilise each engagement. You convert the proposal and statement of work into a release plan, a prioritised backlog, milestones, acceptance criteria, a responsibility matrix and a governance cadence agreed with the client. Run agile delivery. You facilitate Scrum events where Scrum is used, and you manage workflow, work-in-progress limits and flow measures where Kanban is used. Where a client needs fixed-fee milestones or formal stage gates, you adapt governance to those contractual and regulatory requirements. Lead the delivery team. You agree capacity and commitments with the engineers, remove blockers and set working norms for teams of typically three to ten engineers. The team often spans CFGI engineers and partner engineers in several Asia-Pacific time zones. You coach junior team members, while the engineers' line management stays with the partner. Own the client relationship day to day. You prepare and chair steering committees, write clear status reports and manage expectations. You raise risks and decisions early, in business terms, so that sponsors can act before an issue affects the timeline. Control scope, budget and commercials. You track effort against fixed-fee and time-and-materials budgets, forecast the cost at completion and protect the engagement margin. You include cloud, platform and model-consumption costs in the forecast. You also separate backlog refinement within the agreed scope from changes to contractual scope, fees or milestones, which need the client's signed approval before work starts. Manage risks, dependencies and quality. You keep the risks, assumptions, issues and dependencies log current. Typical dependencies include client data access, environment provisioning and security approvals. Your definition of done covers testing, evaluation thresholds, documentation and the control evidence that regulated clients require. Steer artificial-intelligence delivery specifically. You agree stop, pivot and scale criteria with the sponsor before a proof of concept starts. A solution moves to production only when evaluation results meet the agreed threshold and the model-risk and data-privacy sign-offs are in place. You also design human review steps with the client's process owners. Coordinate release readiness. With the architect and the client's owners, you confirm security and privacy review, monitoring, rollback and support ownership before each release. For agentic solutions, you agree the permitted actions, human approvals and escalation paths. Plan validation in regulated work. In healthcare and life-sciences engagements where good-practice (GxP) rules apply, you plan validation and its evidence from the start. You also bring clinical, quality and safety owners into the design of acceptance tests. Hand over to production and to run. You plan cut-over, hypercare and the transition to the client's team or to a CFGI managed service, with runbooks, service levels and support arrangements agreed in advance. The handover names who owns model performance in production, including the drift thresholds and the run-cost budget. Build the practice's delivery playbook. You create reusable plans, templates and estimation baselines from each engagement. You also support the partner on proposals by preparing estimates, staffing plans and delivery approaches.

What you must have: 6+ years of experience in technology delivery, with at least 3 years leading client-facing data, analytics, artificial-intelligence or software-engineering projects.

What sets you apart: Hands-on experience leading engineering teams of three or more, including distributed teams and teams combining internal, vendor or partner engineers. Practical experience running Scrum and Kanban teams and selecting agile, waterfall or hybrid delivery approaches to suit client needs. Experience translating statements of work into delivery plans, backlogs, milestones, acceptance criteria and governance routines. Experience managing fixed-fee and time-and-materials budgets, forecasts, change requests, subcontractor delivery and engagement economics. Technical fluency across data platforms and pipelines, APIs, system integration, cloud environments and continuous integration and delivery. Understanding of AI delivery, including retrieval-augmented generation, agents, model evaluation, machine-learning operations, data readiness and production monitoring. Experience working with software development lifecycle practices, testing, change management, security reviews and release governance. Experience communicating with clients and executives, including chairing steering committees and explaining technical status, risks and trade-offs in business terms. Working awareness of data-protection obligations, including Singapore’s Personal Data Protection Act and relevant laws in other client jurisdictions. Experience applying practical AI governance, including relevant Singapore Model AI Governance Frameworks, alongside applicable law and client policy.

Nice to have: Experience with delivery tools such as Jira, Azure DevOps or Confluence. Relevant agile or project-management certifications, such as Professional Scrum Master, Certified ScrumMaster, PMI Agile Certified Practitioner, SAFe Scrum Master, Project Management Professional (PMP) or PRINCE2 Practitioner. Familiarity with delivery and governance approaches such as the V-model, PRINCE2, the PMI PMBOK Guide, SAFe and DevOps practices. Understanding of data and lakehouse platforms such as Databricks, Snowflake or Microsoft Fabric, and cloud platforms such as AWS, Microsoft Azure or Google Cloud. Healthcare and life-sciences delivery experience, including GxP environments, computerised system validation, or clinical and commercial data projects. Experience delivering finance-function or enterprise-resource-planning programmes. Knowledge of cyber security and IT governance frameworks such as ISO/IEC 27001, the NIST Cybersecurity Framework or COBIT. Experience with IT general controls and finance controls, including access, change management, IT operations, approvals, reconciliations and segregation of duties; SOX Section 404 experience is also useful. Experience transitioning solutions into managed services, including service-level design and IT service-management practices such as ITIL.

Who thrives here: A delivery leader who stays close to engineering and can challenge estimates, read architectures and assess technical trade-offs with architects. Someone who is comfortable managing uncertainty in AI projects through time-boxed experiments, evaluation-based acceptance criteria and early data-readiness checks. A clear, pragmatic communicator who builds trust with clients, engineers, partners and executive sponsors. A structured problem-solver who balances delivery quality, commercial discipline, security, privacy and client outcomes.

Why CFGI: This role offers a rare combination of hands-on delivery leadership and a genuine commercial mandate within a fast-growing Data & AI practice, backed by a global firm with an established Data & Analytics capability and AI-enabled managed-services platform.

You will have exposure to the full commercial and delivery lifecycle — from the first executive conversation, through opportunity qualification and solution design, to signed engagement, governed implementation, and long-term client expansion.

The work spans sectors and the full Data & AI lifecycle, from strategy and readiness through architecture, governed build, automation, analytics, artificial intelligence, and managed operation.

CFGI’s entrepreneurial model gives Managers meaningful client ownership, visibility with senior leadership, and the opportunity to help shape the growth of the Data & AI practice across APAC. As the practice scales, professionals who combine strong delivery, technical credibility, client relationships, and business-development success will be well positioned for continued progression within the firm.

## About CFGI

## Company Overview
- **One-liner**: CFGI is an independent accounting, tax, and advisory firm that supports CFOs by providing former Big Four professionals to execute critical finance initiatives without auditor independence constraints.
- **Entity Type**: Private (backed by The Carlyle Group and CVC Capital Partners)
- **Headquarters**: Boston, Massachusetts, United States
- **Founded**: 2001 (some sources cite 2000)
- **Founders**: Nick Nardone and Shane Caiazzo

## Core Business
- **Primary industry/industries**: Accounting Advisory, Tax, Capital Markets, Risk Advisory, Cybersecurity, ESG, Financial Transformation
- **Target customers**: CFOs and finance teams at public and private companies, private equity sponsors, and portfolio companies (B2B, Enterprise)
- **Mission or purpose statement**: To serve as a full-service resource equipped to efficiently address clients' most crucial accounting, reporting, tax, and compliance challenges, functioning as an extension of the internal team.

## Products & Services
- **Value Creation Execution Office**: Program management, financial value reconciliation, VCP governance, EBITDA bridge modeling, and board reporting for private equity-backed companies.
- **Financial Transformation & Technology**: FP&A design, ERP/EPM implementation, close optimization, finance automation, and post-merger integration.
- **Transactions & Catalyst Events**: IPO readiness, carve-outs, spin-offs, quality of earnings, working capital analysis, sell-side readiness, and purchase accounting.
- **Accounting, Reporting & Compliance**: Technical accounting, audit readiness, tax provisions, SOX compliance, treasury, cybersecurity/vCISO, and ESG reporting.
- **Interim & Managed Services (AI Native)**: AI-native finance managed services powered by PRISM (Close, FP&A, Tax, P2P), interim CFO/CAO/Controller roles, and embedded team scaling.

## Market Standing
- **Valuation**: Not disclosed (acquired by CVC Capital Partners in 2021 for an estimated USD 1.85 billion per LinkedIn)
- **Key Metric**: Annual revenue estimated at $215M (LinkedIn), with 3,000+ active clients and 1,400+ ex-Big Four professionals
- **Notable Investors/Partners**: The Carlyle Group (investment in 2018), CVC Capital Partners (investment in 2022), Pine Hill Group (acquired 2019), PAS Financial Advisory (acquired 2024)
- **Growth Signals**: 30+ global offices across the Americas, Europe, and Asia Pacific; headcount of ~924 employees (+10.5% YoY); expanded to London (2022), Edinburgh, Dublin, and Singapore; completed 10,000+ transactions and 300+ IPOs

## Competitive Advantages
- **Independence from audit constraints**: CFGI is not an audit firm, so it can prepare memos, financial statements, and documentation that auditors cannot, and works directly with audit teams.
- **Senior practitioner model**: Engagements are staffed with senior professionals (ex-Big Four national office backgrounds), not junior teams supervised from a distance.
- **Embedded, not advisory**: Practitioners work alongside management as an extension of the internal team, doing the work rather than just advising.
- **Full-service under one roof**: Covers technical accounting, tax, capital markets, technology, risk, ESG, and operations without siloed handoffs.
- **Institutional backing**: Backed by two of the world’s largest private equity firms (Carlyle and CVC), enabling national and global growth without compromising independence.

## Strategic Focus
- **Global expansion**: Continuing to build out its footprint across the Americas, Europe, and Asia Pacific (30+ offices currently).
- **AI and technology integration**: Embedding AI, automation, and proprietary technology (PRISM platform) into every engagement for faster, sharper delivery.
- **Deepening PE sponsor relationships**: Serving over 500 sponsors and focusing on value creation and transaction advisory for the private equity ecosystem.
- **Scaling the senior practitioner model**: Replicating the grassroots, local-office approach that worked in Boston and New York across new international markets.

## Why Work Here
- **Culture**: Described as a "community-first corporation" where people are the priority internally and externally; employees are empowered to leverage their previous knowledge to craft innovative strategies.
- **Work model**: Practitioners work near clients (side by side), with a "roll-up-the-sleeves" approach. The firm maintains a local presence in 30+ cities, so roles are likely hybrid/office-based near client sites.
- **Career opportunity**: Work on the most complex and interesting accounting and advisory challenges (IPOs, carve-outs, large transactions) alongside the best clients, with direct access to senior leadership.
- **Team composition**: Exclusively former Big Four professionals (1,400+), meaning you join a peer group of high-caliber talent from Deloitte, PwC, EY, and KPMG.
- **Growth trajectory**: Rapid headcount growth (+10.5% YoY), recent international expansion, and backing from top-tier PE firms signal strong momentum and career advancement potential.

## Sources
1. [cfgi.com - About Us](https://www.cfgi.com/about/)
2. [cfgi.com - Homepage](https://www.cfgi.com/)
3. [cfgi.com - Team](https://www.cfgi.com/about-us/team/)
4. [LinkedIn - CFGI](https://www.linkedin.com/company/thecorporatefinancegroup)
5. [Lever - CFGI Careers](https://jobs.lever.co/cfgi)

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