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Salary
≈ $134k – $246k per year (Estimated)
Location
In office (Jersey City)
Seniority
Staff · 5+ years exp

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 5, 2026. Chase UK scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Chase UK is the digital retail bank launched in the United Kingdom by JPMorgan Chase, offering app-based current and saver accounts, cashback on card spending and investing through JP Morgan Personal Investing, with its registered office at Canary Wharf in London. It launched in 2021 as the first international expansion of the Chase consumer banking brand, has no physical branches and provides round-the-clock support through its app and by phone. Its London-based teams include software engineers, product managers, data scientists, designers and customer service staff, and the bank bought the digital wealth manager Nutmeg in 2021.

Job Summary

As a Technical Program Manager (TPM) in the Corporate Technology organization, you will drive hands-on execution of complex, cross-functional technology initiatives that improve experiences for multiple groups across the firm, including clients, employees, and stakeholders. You will translate business, technical, and operational goals into executable plans, manage dependencies and delivery risk day-to-day, and navigate ambiguity with strong analytical reasoning. With technical fluency and a bias for action, you will partner closely with product and engineering teams to remove blockers, keep work moving, and deliver outcomes aligned to strategic objectives.

Job Responsibilities

  • Drive day-to-day execution for complex initiatives by building and managing integrated plans, milestones, dependencies, and delivery commitments across teams.

  • Own program operating rhythms including standups, milestone reviews, RAID management, executive updates, and decision logs to ensure accountability and momentum.

  • Partner with product and engineering leaders to clarify scope, readiness, sequencing, and prioritization, ensuring teams are set up for predictable delivery.

  • Identify risks and issues early, define mitigation plans, and escalate with clear options and trade-offs to drive timely decisions and closure.

  • Coordinate cross-team deliverables, validating outputs and ensuring handling and reporting align to data sensitivity and control requirements.

  • Improve delivery transparency through pragmatic tooling and workflow standards (e.g., Jira hygiene, clear states, and traceability) appropriate to the organization.

  • Support delivery execution through clear documentation including plans, timelines, dependency maps, cutover/runbooks, and production readiness checklists.

  • Drive continuous improvement by retrospectives and outcome-based metrics, improving predictability, throughput, and stakeholder satisfaction.

  • Promote reuse-first and enterprise-authorized AI-assisted practices to accelerate planning, reporting, and analysis workflows, ensuring appropriate human review and validation.

Required Qualifications, Capabilities, and Skills

  • 5+ years of experience as a Technical Program Manager, Program Manager, Delivery Lead, or equivalent role in a software engineering environment.

  • Demonstrated ability to lead hands-on execution across multiple teams, including dependency management, critical path tracking, and change control in fast-moving environments.

  • Strong analytical reasoning and problem-solving skills, with the ability to structure ambiguous problems into clear plans, decisions, and measurable outcomes.

  • Strong stakeholder management skills, including the ability to influence without authority and drive alignment across product, engineering, operations, and control partners.

  • Technical fluency sufficient to engage engineering teams on architecture-level concepts, delivery sequencing, non-functional requirements, and production readiness.

  • Demonstrated experience using enterprise-authorized AI capabilities to support program management workflows with strong validation habits and awareness of data sensitivity.

  • Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations.

  • Strong written and verbal communication skills, including concise executive updates and clear working-level documentation.

Preferred Qualifications, Capabilities, and Skills

  • Experience driving delivery for platform modernization, legacy transformation, or large enterprise technology initiatives.

  • Experience supporting releases in regulated or high-availability contexts, including incident coordination and go-live readiness.

  • Experience improving delivery practices through pragmatic standards, metrics, and tooling across teams.

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