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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 9/30/2026.

Position Summary

As a Data Management Engineer III with Commercial Master Data Management (MDM) expertise you will help clients strengthen commercial data foundations that power trusted analytics, omnichannel engagement, and compliant commercial operations. This role is hands-on with Reltio MDM and/or Informatica MDM (including Informatica Intelligent Data Management Cloud (IDMC) and Data Quality (DQ) capabilities, as applicable) and will focus on key Life Sciences commercial domains including HCP/HCO, affiliations, hierarchies (e.g., Integrated Delivery Networks (IDNs)/health systems), territories and alignment, product masters/hierarchies, and reference data. Help design and run capabilities that produce high-quality golden records, enable effective stewardship, and support consistent syndication of mastered data to downstream platforms (e.g., lakehouse, customer relationship management (CRM), and analytics).

Work you'll do

• Serve as an MDM product and delivery lead, defining roadmaps, backlogs, governance, and operating models for commercial master data.
• Partner with cross-functional stakeholders (e.g., Sales, Marketing, Market Access, Commercial Operations, and IT) to align priorities and drive adoption.
• Facilitate the design and maintain MDM data models and hierarchies for HCP/HCO, accounts, affiliations, IDN/health system structures, customer alignment/territories (including effective dating), product hierarchies, and reference data.
• Configure and optimize identity resolution (match/merge), survivorship, and stewardship workflows to reduce duplicates and improve match confidence, including explainable outcomes and controlled exception handling.
• Establish and manage identifier strategies and crosswalks across internal systems (e.g., CRM, data lake) and third-party identifiers, ensuring lineage and auditability.
• Define data quality rules, thresholds, monitoring, and remediation processes; implement profiling, exception queues, and issue management with clear service level agreements (SLAs) and ownership.
• Contribute to standing up and running stewardship and governance operations (roles, routines, queue management), including change control and audit-ready documentation.
• Support privacy-aware design, access controls, and compliance requirements in partnership with Legal, Compliance, and Information Security.
• Drive operational excellence through runbooks, release and environment promotion practices, incident/problem management, and performance monitoring.
• Explore practical human-in-the-loop automation for stewardship (e.g., suggested merges, remediation workflows with approvals) and natural-language search over stewardship cases/lineage, aligned to enterprise controls.

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

• 5+ years of experience in data management / MDM, including significant experience in Life Sciences commercial data
• 2+ years of hands-on implementation and/or operations experience with Reltio MDM and/or Informatica MDM
• 2+ years demonstrated knowledge of Life Sciences commercial domains (HCP/HCO, affiliations, territories/alignment, CRM, product hierarchies, account structures)
• 4+ years experience designing and operating data governance and stewardship models, including KPI definition and reporting
• 4+ years experience with data integration patterns (batch and streaming), APIs, and data pipelines
• 4+ years experience with data quality tooling and operational monitoring
• 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 Veeva CRM and Life Sciences commercial data vendors/ecosystems
• Experience with complex affiliation and hierarchy modeling (e.g., time-variant affiliations, multiple hierarchy types)
• Experience operating MDM in a product model (roadmaps, SLAs, release trains, adoption)

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 $116,200 to $229,100.

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.

Qualifications: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 9/30/2026.

Position Summary

As a Data Management Engineer III with Commercial Master Data Management (MDM) expertise you will help clients strengthen commercial data foundations that power trusted analytics, omnichannel engagement, and compliant commercial operations. This role is hands-on with Reltio MDM and/or Informatica MDM (including Informatica Intelligent Data Management Cloud (IDMC) and Data Quality (DQ) capabilities, as applicable) and will focus on key Life Sciences commercial domains including HCP/HCO, affiliations, hierarchies (e.g., Integrated Delivery Networks (IDNs)/health systems), territories and alignment, product masters/hierarchies, and reference data. Help design and run capabilities that produce high-quality golden records, enable effective stewardship, and support consistent syndication of mastered data to downstream platforms (e.g., lakehouse, customer relationship management (CRM), and analytics).

Work you'll do

• Serve as an MDM product and delivery lead, defining roadmaps, backlogs, governance, and operating models for commercial master data.
• Partner with cross-functional stakeholders (e.g., Sales, Marketing, Market Access, Commercial Operations, and IT) to align priorities and drive adoption.
• Facilitate the design and maintain MDM data models and hierarchies for HCP/HCO, accounts, affiliations, IDN/health system structures, customer alignment/territories (including effective dating), product hierarchies, and reference data.
• Configure and optimize identity resolution (match/merge), survivorship, and stewardship workflows to reduce duplicates and improve match confidence, including explainable outcomes and controlled exception handling.
• Establish and manage identifier strategies and crosswalks across internal systems (e.g., CRM, data lake) and third-party identifiers, ensuring lineage and auditability.
• Define data quality rules, thresholds, monitoring, and remediation processes; implement profiling, exception queues, and issue management with clear service level agreements (SLAs) and ownership.
• Contribute to standing up and running stewardship and governance operations (roles, routines, queue management), including change control and audit-ready documentation.
• Support privacy-aware design, access controls, and compliance requirements in partnership with Legal, Compliance, and Information Security.
• Drive operational excellence through runbooks, release and environment promotion practices, incident/problem management, and performance monitoring.
• Explore practical human-in-the-loop automation for stewardship (e.g., suggested merges, remediation workflows with approvals) and natural-language search over stewardship cases/lineage, aligned to enterprise controls.

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

• 5+ years of experience in data management / MDM, including significant experience in Life Sciences commercial data
• 2+ years of hands-on implementation and/or operations experience with Reltio MDM and/or Informatica MDM
• 2+ years demonstrated knowledge of Life Sciences commercial domains (HCP/HCO, affiliations, territories/alignment, CRM, product hierarchies, account structures)
• 4+ years experience designing and operating data governance and stewardship models, including KPI definition and reporting
• 4+ years experience with data integration patterns (batch and streaming), APIs, and data pipelines
• 4+ years experience with data quality tooling and operational monitoring
• 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 Veeva CRM and Life Sciences commercial data vendors/ecosystems
• Experience with complex affiliation and hierarchy modeling (e.g., time-variant affiliations, multiple hierarchy types)
• Experience operating MDM in a product model (roadmaps, SLAs, release trains, adoption)

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 $116,200 to $229,100.

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.

Education:Bachelor's DegreeEmployment Type: