About the role
Introduction 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
The Role 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, challenging a bank’s proposed model architecture, guiding a model risk management team through 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 single-workstream or small multi-workstream projects within an existing customer engagement, typically spanning engineering, data science, and customer IT, with senior TPM or engagement manager oversight on cross-team dependencies, escalations, and decisions that affect the broader program. 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, working in partnership with the broader delivery team. Contribute to delivery of 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. Deploy AI financial crime technology successfully, in production Own the end-to-end delivery of SensaAI and NetReveal projects typically up to $1M in budget, operating within a defined scope and existing contract — from kickoff through model tuning, user acceptance, go-live, and hypercare — and ensuring alignment on schedule, budget, quality, and risk. Engage senior TPMs for scope-change decisions, commercial trade-offs, and complex risk calls. 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 surface the results to the engagement manager, who leads renewal and expansion conversations with the customer. 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 Co-lead the customer relationship with the engagement manager, serving as the day-to-day delivery counterpart to the bank's program leads, financial crime operations managers, and IT delivery leads, while the engagement manager holds the relationship with C-suite stakeholders (CCO, MLRO, CIO, CDO). Run working-level status meetings, delivery reviews, and decision forums with crisp status, evidence, and clear asks; contribute to steering committee materials and attend alongside the engagement manager, who chairs the executive-level conversation. 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. What We Are Looking For Required At least 3 years’ technical project management experience. Demonstrated ownership of 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
