Job Description – Senior Project / Delivery Manager

Experience: 8-10 years

Type: Full-time

Location: Bengaluru, with frequent GCC travel

About ALP

Angel Lane Partners (ALP) is a computational finance, data engineering and AI/ML firm with offices in Dubai, London, Bengaluru and Riyadh. We work with banks, financial institutions and government entities across the GCC.

Role Overview

You will run ALP's technology implementation engagements at banks and financial institutions, from contract signature through go-live and handover. Engagements include credit and risk platforms, data platforms, calculation and analytics engines, and AI applications, often deployed on the client's own infrastructure. You will manage teams of business analysts, data engineers, developers, quants and AI engineers, and work alongside the client's business, risk and IT teams and any third-party vendors. You will report to ALP partners. This is a hands-on technical role: you will read, review and improve the code your teams write, including core calculation engines, data pipelines and application components.

Travel

The role is based in Bengaluru, with frequent travel to client sites in the GCC, sometimes for several weeks at a time. A valid passport is required.

Key Responsibilities

Delivery and governance

· Own delivery end to end: mobilisation, requirements, design, build, testing, deployment, hypercare and handover.

· Set up engagement governance, including steering committee and working group cadence, status reporting, RAID and decision logs, and escalation paths.

· Build and maintain the integrated plan across workstreams, covering milestones, dependencies, critical path and resourcing.

· Track effort, cost and margin against budget.

· Manage scope against the statement of work, assess change requests and their commercial impact, agree acceptance criteria and obtain milestone sign-offs.

· Coordinate third-party and client-appointed vendors where the solution depends on them.

· Run lessons-learned reviews and feed them into ALP's delivery methodology.

Technical implementation

· Agree the deployment architecture with ALP architects and client IT, covering on-premise, private cloud or public cloud hosting, environments (DEV, SIT, UAT, PROD), network access and integration points.

· Plan and track integration with core banking, loan origination, treasury, data warehouse and reporting systems through APIs, file feeds or database interfaces.





· Take the solution through the bank's IT and security processes, including architecture review, information security assessment, penetration testing, vendor onboarding, change advisory boards and production release approval.

· Manage data readiness and migration, covering source identification, data quality, reconciliation and parallel runs.

· Plan test phases (SIT, UAT, performance, security) with entry and exit criteria, and run defect triage.

· Plan cutover, go-live, rollback and hypercare, and coordinate releases across environments.

· On AI engagements, plan infrastructure and deployment with the AI team, covering hosted LLM APIs versus open-weight models on client infrastructure, GPU sizing, data residency, evaluation and monitoring, and the bank's model risk and AI governance requirements.

Code and technical quality

· Review code in Python, SQL or C++ for correctness, performance, security and maintainability.

· Check that code implements the agreed methodology, including risk calculations, business rules and data transformations.

· Improve core components directly where needed, by refactoring, tuning performance and fixing defects.

· Set and enforce coding standards, branching and pull-request practices, test coverage and code documentation.

· Review cloud deployments on AWS and Azure, covering infrastructure configuration, access controls, scalability and cost.

Banking and risk

· Translate business and regulatory requirements in credit, market, liquidity and operational risk into delivery scope and acceptance criteria.

· Work with client risk, finance, compliance and model validation functions, and plan for review by internal audit and regulators (CBUAE, QCB, SAMA).

· Review functional and methodology deliverables for consistency with banking practice before they go to the client.

Team and business development

· Lead delivery teams across ALP offices and client sites: assign work, review output and give feedback.

· Support proposals with scope, approach, delivery plan, effort and staffing estimates, and delivery risks.

· Identify follow-on work within current engagements.





Required Skills

· 8-10 years delivering technology projects in banking or financial services, including at least 3-4 years as project or delivery manager on implementations at banks.

· At least 3-4 years as a hands-on software engineer before moving into delivery or project management.

· At least two software implementations at banks delivered from contract to go-live, such as risk, credit, data or regulatory reporting platforms.

· Experience managing engagements with several concurrent workstreams across vendor, client and third-party teams.

· Able to read, review and write production code in Python and SQL.

· Hands-on AWS or Azure experience: compute, storage, networking, IAM, managed databases and application deployment.

· Git, pull-request reviews, CI/CD and automated testing.

· Understanding of bank hosting constraints: on-premise and private cloud, information security, data residency and outsourcing rules.

· Current understanding of AI infrastructure and delivery: LLM APIs versus self-hosted models, RAG and vector databases, GPU requirements, evaluation, monitoring and AI governance.

· Banking and risk knowledge: the credit lifecycle, PD/LGD/EAD and IFRS 9, market and liquidity risk fundamentals, Basel capital and regulatory reporting.

· Experience with bank IT governance, including security reviews, vendor onboarding, change management and production approvals.

· Commercial management covering budgets, effort tracking, statements of work and change requests.

· Reporting to steering committees and senior client executives.

Preferred Skills

· C++, particularly for pricing, risk or other calculation libraries.

· Docker and Kubernetes.

· Infrastructure as code (Terraform, CloudFormation or ARM/Bicep).

· PMP, PRINCE2, SAFe or Agile certification.

· FRM, CFA or an equivalent risk qualification.

· GCC banking experience and familiarity with CBUAE, QCB or SAMA requirements, including outsourcing and data localisation rules.

· Experience at a consulting firm, risk software vendor or systems integrator.

· Delivery of AI/ML or LLM applications in a regulated environment.

· Hands-on experience with commercial risk, credit or treasury platforms.

Qualifications

· Bachelor's degree in engineering, computer science, finance or a related field; master's or MBA preferred.

· Transparent written and spoken English for executive audiences.

📌 Senior Project / Delivery Manager (Bengaluru)
🏢 ALP (Computational Finance, AI and Data Engineering)
📍 Bengaluru