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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 08/13/2026.

Work you'll do

As a Lead Data Management Engineer II on the AI & Data team, you will be responsible for leading the design and delivery for client engagements.

• Lead small engagements or key workstreams within large, complex data and analytics transformations
• Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
• Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
• Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
• Support practice growth through proposal development, thought leadership, and coaching junior practitioners

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:

• 8+ years Data Archiving and Information Lifecycle Management consulting experience to include retention management, data integrity, system performance, and legacy-system decommissioning client projects
• 6+ years hands-on experience with SAP ILM, SAP Data Archiving, JiVS IMP, OpenText VIM and E-invoicing
• 2+ years experience leading, managing and delivering complex technology engagements end-to-end with resources in multiple locations
• 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:

• Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Consulting experience in client-facing delivery roles
• Experience in creating critical collaterals for client workshops and customer interactive sessions
• Experience presenting to both large and small audiences

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 $134,500 - $265,100.

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.

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 08/13/2026.

Work you'll do

As a Lead Data Management Engineer II on the AI & Data team, you will be responsible for leading the design and delivery for client engagements.

• Lead small engagements or key workstreams within large, complex data and analytics transformations
• Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
• Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
• Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
• Support practice growth through proposal development, thought leadership, and coaching junior practitioners

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:

• 8+ years Data Archiving and Information Lifecycle Management consulting experience to include retention management, data integrity, system performance, and legacy-system decommissioning client projects
• 6+ years hands-on experience with SAP ILM, SAP Data Archiving, JiVS IMP, OpenText VIM and E-invoicing
• 2+ years experience leading, managing and delivering complex technology engagements end-to-end with resources in multiple locations
• 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:

• Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Consulting experience in client-facing delivery roles
• Experience in creating critical collaterals for client workshops and customer interactive sessions
• Experience presenting to both large and small audiences

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 $134,500 - $265,100.

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.