Note: The job is a remote job and is open to candidates in USA. SymphonyAI Financial Services is the global leader in AI-powered financial crime prevention. The Technical Project Manager will own the end-to-end delivery of SensaAI and NetReveal deployments at major financial institutions, leading complex projects and ensuring delivery quality, timelines, and customer satisfaction.
Responsibilities
- 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
- 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
- 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
Skills
- 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 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
- 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
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