Job DescriptionSeeking an experienced Technical Project Manager to lead the delivery and modernization of Global Reconciliation Platform. The role will manage a team of Spark/Scala Data Engineers, oversee BAU and transformation initiatives, and drive the development of scalable reconciliation solutions that support operational controls, exception management, data integrity, and regulatory requirements. The ideal candidate will combine strong delivery leadership, data engineering expertise, and a solid understanding of reconciliation platforms within Banking and Financial Services.
Key Responsibilities- Lead and manage a team of Spark/Scala Data Engineers responsible for developing, enhancing, and supporting Global Reconciliation Platform.
- Drive delivery of BAU, platform modernization, regulatory, and strategic transformation initiatives, including migration from on-premises platforms to AWS Cloud.
- Demonstrates strong architectural and technology acumen, with the ability to engage effectively with Solution Architects, and Data Engineering teams to shape solution designs, influence technical decisions, and ensure alignment between business objectives, platform strategy, and cloud migration goals.
- Partner with Product Managers, Operations, Finance, Technology, and Business stakeholders to deliver reconciliation capabilities that support financial controls, account substantiation, and exception management processes.
- Oversee the design and implementation of scalable data processing, reconciliation, matching, and exception management solutions for high-volume financial data.
- Collaborate with Solution Architects and Engineering teams to define target-state architectures and cloud-native solutions aligned with technology strategy.
- Manage Agile delivery, sprint execution, release planning, resource management, risk mitigation, and cross-functional dependencies.
- Ensure platform stability, operational excellence, SLA adherence, and timely resolution of production issues impacting reconciliation processes.
- Drive engineering best practices, automation, code quality, performance optimization, and observability across the platform.
- Mentor and guide Data Engineers while fostering a culture of accountability, innovation, and continuous improvement.
Required Qualifications- 10+ years of experience in Technology Delivery, Data Engineering, or Technical Project Management within Banking or Financial Services.
- Proven experience leading teams of Spark, Scala Engineers.
- Strong understanding of reconciliation platforms, financial controls, transaction lifecycles, exception management, and operational risk processes.
Good to have - understanding of AWS services such as EC2, EKS, ECS, Lambda, API Gateway, S3, etc.
- Strong knowledge of enterprise data architectures, distributed data processing, and cloud transformation programs.
- Demonstrated ability to manage complex stakeholder relationships across Business, Operations, Risk, and Technology organizations.
- Experience working in Agile/Scrum delivery environments.
The base compensation range for this role in the posted location is: 105,456- 120,209
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
