Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Recruiting for this role ends on 12/22/2025
Work you'll do
As a Technical Data Management Manager (Banking), you will lead the technical architecture, configuration, and implementation of enterprise Master Data Management (MDM) solutions at our Banking and FSI clients. You will operate at the intersection of technology and business-ensuring that MDM platforms are robust, scalable, and aligned with client objectives.
Collaborate closely with data architects, engineers, and business stakeholders to translate requirements into actionable technical architecture, designs and data integration patterns, including non-functional needs (e.g., security, resiliency, performance etc.)
Drive technical delivery of complex MDM programs, overseeing design, build, validation and production deployment and hyper-care phases
Support hands-on configuration and deployment as needed, of industry-leading MDM solutions (e.g., Informatica, Reltio), including matching, survivorship, hierarchies, and data quality controls
Lead technical teams through best practices in solution design, code reviews, release management, and troubleshooting complex issues across the MDM lifecycle
Design and enforce data governance, security, compliance, and privacy practices, ensuring regulatory alignment and operational excellence
In addition, Managers also contribute to Deloitte's thought leadership, play a significant role in business development activities (to include, the development and presentation of proposals), and own responsibility for the development of junior staff.
The team
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications
Required:
6+ years of relevant experience in data management consulting or industry roles, with a focus on master data management (MDM), data governance, metadata, data architecture, data strategy, data quality, data modeling, and data standards
4+ years Financial Services - Banking industry (consulting and/or industry) technical experience for banking data, products, and processes
3+ years hands-on technical implementation and support experience with leading data management platforms such as Informatica (MDM, 360, Data Catalog) and/or Reltio (Multi-domain MDM, Intelligent 360, advanced data models)
3+ years experience with programming and/or scripting languages (e.g., SQL, Python, Java)
2+ years leading technical teams in large, complex MDM or enterprise data projects, with experience in solution architecture and release management
Bachelor's Degree
Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available
Preferred:
Advanced knowledge of data modeling, data integration (ETL/ELT), API management, and data quality tooling
Hands-on experience with on-premises and cloud MDM deployments (Azure, AWS, GCP)
Experience with DevOps tools, CI/CD pipelines, and automation for MDM platforms
Experience with emerging data architectures-including Data Mesh, Data Fabric, Multimodal Data Management, and AI/ML integration
Experience supporting technical pre-sales, solution demos, and proposal development
Excellent communication and presentation skills, with confidence engaging both technical and non-technical audiences
Experience driving delivery in global, distributed environments
Advanced degree in a relevant technical specialization
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
