Senior Technical Project Manager - Financial Services (AI-first)
SymphonyAI
Accounting & Finance, Software Engineering, IT, Operations, Data Science
London, UK
Senior Technical Project Manager - Financial Services (AI-first)
- Category
- Professional Services
- Position Type
- Full-Time
Introduction
Function: Professional Services and AI Value Delivery
Travel: Up to 25% for customer engagements at bank sites
Reports to: Customer Engagement Manager
About SymphonyAI Financial Services
SymphonyAI Financial Services is the global leader in AI-powered financial crime prevention. We provide SensaAI and NetReveal, combining AI and non-AI software, to help over 300 banks, insurers, and financial firms prevent money laundering, fraud, sanctions breaches, and market abuse. Our systems sit between criminals and the financial system and are closely monitored by top regulators around the world.
Our Professional Services and AI Value Delivery organization brings signed contracts to life as active financial crime defenses. We deploy AI within core compliance and fraud operations at some of the world’s most demanding institutions. We integrate with payments, core banking, KYC, and case management systems, and work closely with Chief Compliance Officers, Heads of Financial Crime, and CIOs until they see measurable improvements in alert quality, investigator productivity, and regulatory outcomes.
Job Description
As a Technical Project Manager, you will own the end-to-end delivery of SensaAI and NetReveal deployments at major financial institutions. You will lead complex, multi-stream projects spanning transaction monitoring, sanctions screening, KYC, and fraud, and act as the single point of accountability for delivery quality, timelines, regulatory readiness, and customer satisfaction.
This is an individual contributor role and an excellent opportunity for someone who has built and deployed technology — ideally in financial services — before moving into project management. You should be equally comfortable reading a transaction monitoring rules library, , guiding a client team through model validation evidence, and presenting steering committee updates to a Chief Compliance Officer.
You will be the person engineering trusts to translate the bank’s reality, and the person the bank trusts to provide clear, honest guidance on the program.
If you are passionate about an AI-first, AI Fast approach — treating AI as the default tool rather than a last resort, and moving at the speed technology enables, even within regulated change-management environments — this is an excellent opportunity for you.
What You Will Do
Run strong, modern project management
- Lead multi-workstream programs spanning product, data science, engineering, security, customer IT, customer compliance and fraud teams, and third-party system integrators across multiple jurisdictions.
- Run delivery the AI Fast way — short cycles, working software, instrumented decisions, and decisions made on evidence rather than opinion, even inside long bank change-management calendars.
- Maintain rigorous operating cadence: kickoff, weekly delivery, risk and issue management, change control, financial tracking, lessons learned, and the regulator-grade documentation expected in financial services.
- Build repeatable delivery assets — playbooks, accelerators, model tuning patterns, MRM evidence templates, and reference deployments — that the rest of the Financial Services AI Value Delivery practice can reuse.
- Use AI tools in your own workflow — for planning, status synthesis, risk analysis, alert and scenario review, customer artifacts, and quality checks. We expect AI-first behavior from the people delivering AI.
- Drive and champion AI adoption within teams by actively motivating and enabling individuals to integrate AI into their daily workflows, ensuring its practical use delivers measurable business value.
Deploy AI financial crime technology successfully, in production
- Own the successful end-to-end delivery of SensaAI and NetReveal deployments — from kickoff through model tuning, user acceptance, go-live, hypercare, and customer success handoff — ensuring alignment on scope, schedule, budget, quality, risk, and measurable customer outcomes.
- Orchestrate cross-functional teams (solutions architecture, data science, engineering, and customer stakeholders) to ensure the technical solution is coherent, compliant, and delivers against agreed financial crime objectives, challenging assumptions where needed and driving decision-making.
- Drive AI deployment readiness for regulated environments: data lineage, model evaluation and explainability, alert quality benchmarks, scenario tuning, transaction monitoring above-the-line and below-the-line testing, sanctions list refresh, payments cutover plans, and parallel-run strategies.
- Operationalize the AI value case in production with the bank to instrument and track the outcomes that matter — alert reduction, investigator productivity, SAR quality, time-to-decision, and total cost of compliance — and translate them into renewal and expansion conversations.
- Produce model risk management evidence packs that satisfy SR 11-7, SS1/23, and equivalent regulatory regimes, alongside the bank’s MRM and internal audit functions.
Manage senior bank stakeholders with rigor and empathy
- Serve as the trusted delivery counterpart to the customer’s Chief Compliance Officer, MLRO, Head of Financial Crime, Head of Fraud, Chief Data Officer, and CIO, as well as their model risk, audit, and security teams.
- Run regular steering committee meetings, regulator-facing readouts, and decision forums; bring crisp status, defensible evidence, clear asks, and credible recommendations, not just updates.
- Guide the bank through change management for investigators, model reviewers, and front-line ops — recognizing that financial crime deployments succeed or fail on people and workflows as much as on models.
- Negotiate scope conversations honestly inside a fixed-price, regulated, audit-trailed environment: protect the bank’s regulatory commitments, protect the SymphonyAI margin, and keep both moving in the same direction.
- Stand alongside the customer when their regulator visits — not by speaking for the bank, but by making sure the deployment evidence is complete, accurate, and defensible.
Commercial and Business growth
- Shape Statements of Work, commercial proposals, scope assessments, and change control for high value engagements.
- Own financial performance, including revenue, margin, cost to complete, forecasting, and risk/commercial exposure.
- Identify opportunities for renewals, expansions, and adjacent service offerings.
- Partner with Customer Success and account teams to support growth forecasting and long term account planning
What We Are Looking For
Required
- At least 8 years’ technical project management experience.
- Demonstrated ownership of at least 3 complex enterprise software or AI deployments end-to-end, each with real production cutover, real customer stakeholders, and real consequences — ideally in financial services.
- Strong technical fluency in modern AI and data systems. You do not need to be the deepest expert on the team, but you should be able to hold a credible technical conversation without a translator.
- Proven success managing senior stakeholders in regulated environments.
- Excellent written and verbal communication in English, with the executive presence to run a steering committee and the precision to write a defensible risk memo or model validation summary.
- Track record of running programs with discipline — schedule, scope, budget, risk, change control, audit trail — without letting process become the point.
- Readiness to travel for customer engagements at bank sites.
Strongly Preferred
- Prior career foundation in technology development or deployment role before transitioning into project or program management. This is a meaningful differentiator for this role.
- Direct financial services delivery experience: anti-money laundering, sanctions screening, KYC, fraud, market surveillance, payments, or core banking.
- Hands-on exposure to SensaAI, NetReveal, or competing financial crime platforms is a strong plus.
- Working knowledge of the regulatory landscape that shapes our deployments — BSA and FinCEN, OFAC, FATF, FCA, PRA, ECB, MAS, HKMA, AUSTRAC — and of model risk regimes such as SR 11-7 and SS1/23.
- Experience deploying AI or analytics into bank production environments, including on-premise, private cloud, and hybrid topologies with strict security and data residency requirements.
- PMP, Prince2, SAFe, CAMS, or equivalent certification.
- Experience working across global delivery teams, particularly across North America, EMEA, and India.
- Fluency in at least one of the following languages is desirable: German, French, Italian, or Spanish.
About Us
SymphonyAI builds Vertical AI applications that help enterprises tackle their most complex, high-value challenges like stopping financial crime, improving store performance, and boosting manufacturing efficiency. Trusted by more than 2,000 enterprise customers around the globe including 200 of the top financial institutions, top 25 CPGs, and many of the world’s largest grocers and industrial manufacturers, SymphonyAI delivers domain trained applications and pre-built agents that are ready to work on day one.
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