Palantir Engineering Management Specialist

Senior Engineering Management Specialist

Our Deloitte AI & Engineering team is transforming technology platforms, driving innovation, and making a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering 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. Work you'll do As a Senior Engineering Management Specialist on the AI & Data team, you will be responsible for:

• Supporting the development and configuration of Palantir Foundry capabilities to profile legacy enterprise resource planning data and assess data quality for SAP S/4
  
  HANA migration readiness
• Identifying, analyzing, and documenting data quality issues, including completeness, consistency, validity, and duplication, to support data cleansing efforts
• Developing and maintaining data mapping logic to transform legacy data structures into target SAP S/4
  
  HANA-compatible formats
• Assisting in the design and execution of data conversion workflows to support accurate and traceable movement of data from legacy systems into the enterprise resource planning upgrade environment
• Collaborating with functional, technical, and business stakeholders to validate source-to-target mappings, transformation rules, and migration assumptions
• Troubleshooting data issues during profiling, cleansing, and conversion activities and supporting remediation efforts to improve migration accuracy and data integrity

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or work streams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

The team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services.

Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. Qualifications

Required:

• Bachelor's degree in computer science, engineering, information systems, data science, mathematics, business analytics, or a comparable quantitative field
• 6+ years of experience supporting enterprise data migration, data conversion, or enterprise resource planning transformation activities
• 3+ years of experience profiling, cleansing, mapping, or transforming legacy data for system implementation or modernization efforts
• 1 + years of experience using Palantir Foundry, SAP S/4
  
  HANA, or comparable enterprise data transformation platforms
• Ability to travel 10-25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
• Active Secret security clearance required

Preferred:

• Experience validating source-to-target mappings, transformation logic, or migration assumptions across technical and business stakeholders.
• Experience supporting enterprise resource planning modernization or SAP migration programs
• Experience troubleshooting data quality, profiling, cleansing, or conversion issues in large-scale transformation efforts
• Experience with SQL, Python, or other tools used for data analysis, transformation, or validation

The wage range for this role takes into account the wide range of factors that…