Principal Technical Program Manager- AI/ML- Payments in Bristol

Principal Technical Program Manager- AI/ML- Payments in Bristol

Bristol Full-Time 60000 - 80000 £ / year (est.) No working from home possible
J.P. Morgan

At a Glance

  • Tasks: Lead innovative tech programmes in AI/ML for global payments solutions.
  • Company: Join J.P. Morgan, a leader in financial services with a rich history.
  • Benefits: Competitive salary, health coverage, retirement plans, and tuition reimbursement.
  • Other info: Diverse and inclusive workplace with excellent growth opportunities.
  • Why this job: Make a real impact in the fintech space while advancing your career.
  • Qualifications: 7+ years in technical program management with strong AI/ML understanding.

The predicted salary is between 60000 - 80000 £ per year.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. Is this the role you are looking for? If so, read on for more details, and make sure to apply today.

Elevate your career by steering multi-faceted tech programs, integrating innovative solutions for a dynamic impact across global operations. As a Principal Technical Program Manager in our Commercial & Investment Bank, Payments Technology Team, you will drive delivery of the Large Payments Model (LPM) - a domain-specific foundation model trained on structured payments data (not language). LPM learns cross-cutting patterns from payments data and enables a single pretrained model to support multiple products, rails, and use cases. This role leads end-to-end execution across Applied AI/ML (model development), engineering (serving and integration), data/feature pipelines, and governance/controls, ensuring LPM is delivered with technical excellence, scalability, and downstream adoption. LPM is optimized for prediction and classification problems central to payments (e.g., fraud detection, risk signaling, payment optimization) - not generative chat. You will translate business, technical, and operational objectives into an integrated program plan, managing resources, timelines, and budgets (as applicable) while navigating ambiguity and driving change.

Job responsibilities

  • Own the program plan for LPM delivery: milestones, critical path, dependencies, resourcing, and operating cadence across multiple teams.
  • Oversee execution across resources, timelines, and budgets (as applicable); manage dependencies and control change in high-pressure, shifting environments.
  • Drive alignment on LPM's delivery model and integration patterns for downstream consumers: real-time inference services, batch scoring, streaming integrations, and feature/signal delivery, including versioning and contract management.
  • Coordinate the Science track: training data/label strategy, model objectives, evaluation gates, robustness/segmentation, calibration, explainability inputs (as required), and model release criteria.
  • Coordinate the Production track: scalable data pipelines, model packaging, CI/CD, serving reliability, observability/monitoring, incident/rollback readiness, and cost/latency performance.
  • Guide selection and implementation of appropriate platforms, tooling, and integration approaches to support LPM training/evaluation, serving, monitoring, and downstream adoption.
  • Establish and run program mechanisms: sprint/program planning, cross-team standups, architecture reviews, risk reviews, release readiness, and executive updates.
  • Manage RAID (risks, assumptions, issues, dependencies) proactively - especially around data readiness, integration timelines, platform constraints, and adoption readiness across products/rails.
  • Partner with Risk/Compliance/Model Governance and controls to ensure documentation, traceability, approvals, and audit readiness are planned and delivered as part of the program.

Required qualifications, capabilities, and skills

  • 7+ years experience in technical program management (or engineering + program leadership) delivering complex, cross-functional initiatives from design through production launch.
  • Strong technical fluency across modern systems: distributed services, data pipelines, integration contracts (schemas, SLAs/SLOs, versioning), and operational readiness (monitoring, incident response).
  • Experience delivering data/ML-enabled systems (you are not expected to build models, but must understand ML lifecycle concepts such as training data/labels, evaluation, deployment patterns, monitoring/drift, and feedback loops).
  • Demonstrated ability to lead execution across Applied AI/ML, engineering, data, and control partners in a high-governance environment.
  • Excellent written/verbal communication and executive-ready program reporting; strong ownership and ability to drive decisions under ambiguity.
  • Experience working with vendor/partner solutions and/or platform teams, including evaluating options and managing delivery dependencies (as applicable).

Preferred qualifications, capabilities, and skills

  • Payments/fintech domain exposure (transaction processing, fraud/risk, payment optimization, merchant/treasury services).
  • Experience with multi-tenant platform delivery (serving multiple downstream teams/products with versioning, SLAs, and backward compatibility).
  • Familiarity with cloud-native delivery, CI/CD, and observability (e.g., AWS; streaming and batch architectures).
  • Experience working with model governance, risk/compliance, and audit requirements.

JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

J.P. Morgan

Contact Details:

J.P. Morgan Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Technical Program Manager- AI/ML- Payments in Bristol

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We think you need these skills to ace Principal Technical Program Manager- AI/ML- Payments in Bristol

Technical Program Management
AI/ML Lifecycle Understanding
Data Pipeline Management
Integration Contracts
Operational Readiness
Cross-Functional Leadership
Risk Management

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