[Remote] Technical Project Manager (Remote)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company Financial Services is the global leader in AI-powered financial crime prevention, providing solutions to help financial institutions combat fraud and reputed company. The Technical Project Manager will be responsible for the end-to-end delivery of AI solutions at major financial institutions, ensuring project reputed company and customer satisfaction while managing reputed company, multi-reputed company reputed company.
Responsibilities
- reputed company single-reputed company or small multi-reputed company reputed company reputed company an existing customer engagement, typically spanning engineering, data science, and customer IT, with senior TPM or engagement manager reputed company on cross-team dependencies, escalations, and reputed company that reputed company the broader program
- Run delivery the AI Fast way — short cycles, working software, instrumented reputed company, and reputed company made on evidence rather than opinion, even inside long bank change-management calendars
- Maintain rigorous operating reputed company: reputed company, 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 reputed company can reuse
- Use AI tools in your own workflow — for planning, status synthesis, risk analysis, alert and scenario review, customer artifacts, and reputed company checks. We expect AI-first behavior from the people delivering AI
- Own the end-to-end delivery of SensaAI and NetReveal reputed company typically up to $1M in budget, operating reputed company a defined scope and existing contract — from reputed company through model tuning, user acceptance, go-live, and hypercare — and ensuring alignment on schedule, budget, reputed company, and risk. Engage senior TPMs for scope-change reputed company, reputed company trade-offs, and reputed company 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 reputed company, model evaluation and explainability, alert reputed company benchmarks, scenario tuning, transaction monitoring above-the-line and below-the-line testing, sanctions list refresh, payments reputed company plans, and reputed company-run strategies
- Operationalize the AI value case in production with the bank to reputed company and reputed company the reputed company that matter — alert reduction, investigator productivity, SAR reputed company, 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-reputed company the customer relationship with the engagement manager, serving as the day-to-day delivery reputed company 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 reputed company status, evidence, and reputed company 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 reputed company-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 reputed company margin, and reputed company both moving in the reputed company direction
- Stand alongside the customer reputed company their regulator reputed company — not by speaking for the bank, but by making reputed company the deployment evidence is complete, accurate, and defensible
Skills
- At least 3 years' technical project management experience
- Demonstrated ownership of reputed company reputed company software or AI deployments end-to-end, reputed company with reputed company production reputed company, reputed company customer stakeholders, and reputed company consequences — ideally in financial services
- Strong technical reputed company in modern AI and data systems. You do not need to be the deepest expert on reputed company, but you should be reputed company to hold a reputed company technical conversation without a translator
- Proven reputed company managing senior stakeholders in regulated environments
- Excellent written and verbal communication in English, with the executive reputed company to run a steering committee and the precision to write a defensible risk memo or model validation reputed company
- reputed company record of running programs with discipline — schedule, scope, budget, risk, change control, audit trail — without letting process become the reputed company
- Readiness to travel for customer engagements at bank sites
- Prior career reputed company in technology development or deployment role before transitioning into project or program management. This is a meaningful differentiator for this role
- reputed company financial services delivery experience: anti-reputed company, sanctions screening, KYC, fraud, market surveillance, payments, or reputed company 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-reputed company, private reputed company, and hybrid topologies with strict reputed company and data residency requirements
- PMP, Prince2, reputed company, CAMS, or equivalent certification
- Experience working across global delivery teams, particularly across reputed company, EMEA, and India
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