SAP Data Migration Lead – SuccessFactors Employee Central Payroll

🕒 September 30

🏛️ District of Columbia, Washington – Remote

infoinfo

💵 $120.4k - $234.7k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

infoinfo

ETL

PMP

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Accenture Federal Services

Accenture Federal Services

10,000+ employees

Founded 2017

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

Accenture Federal Services is a division of Accenture that focuses on delivering technology and consulting services to the U. S. federal government. With capabilities in cloud, cybersecurity, data and artificial intelligence, digital engineering, and emerging technologies, Accenture Federal Services supports federal agencies in achieving mission-critical outcomes through innovation and technological advancement. The company emphasizes building secure, scalable solutions, enhancing decision-making with data-driven insights, and transforming digital infrastructures to meet complex governmental needs. By leveraging advanced R&D and human-centered design, they aim to improve the performance and resilience of government operations.

📋 Description

• Lead end-to-end data migration efforts for a complex SAP Employee Central Payroll modernization program • Drive data quality, migration strategy, and cutover execution across multiple workstreams • Lead data quality, data profiling, and data cleansing analysis across legacy source systems • Design data migration solutions and end-to-end migration strategies, including source-to-target mapping, ETL approaches, and tooling • Define and document data conversion rules, mapping logic, and business rules for employee master data, payroll infotypes, time/absence data, and organizational structures • Write technical specification documents for extraction, transformation, validation, and load processes • Lead mock conversion cycles and reconciliation activities • Define data validation/exception reports and error-resolution processes • Develop and execute cutover plans, including sequencing, downtime windows, fallback/rollback procedures, and go-live readiness criteria • Coordinate with SAP functional consultants, technical developers, and client data owners • Manage the data migration team, assign tasks, review deliverables, and mentor junior analysts • Report migration status, risks, and issues to program leadership and client stakeholders • Maintain data migration governance documentation, including data dictionaries, mapping trackers, and defect logs

🎯 Requirements

• 7+ years of SAP experience • 2+ years of SAP data conversion experience across SAP ECC, IBP, and/or SRM environments • Hands-on experience with data migration tools and methodologies, such as LSMW, SAP Migration Cockpit/LTMC, BODS, or equivalent ETL tools • Experience performing data profiling, cleansing, and reconciliation activities in an SAP conversion project • Strong Excel/data analysis skills for large-scale data mapping and validation • Must be eligible to obtain a government clearance • US citizenship required (no dual citizenship) • Work authorization in the United States without current or future visa sponsorship • Experience specifically with SAP Employee Central and/or Employee Central Payroll data conversion • Familiarity with legacy SAP HCM/Payroll infotypes and mapping to the Employee Central object model • Experience leading mock conversion/cutover cycles on a federal or large enterprise SAP program • Knowledge of SAP data migration accelerators or Accenture proprietary conversion tools/methodologies • PMP or equivalent project leadership experience for teams of 3+ analysts

🏖️ Benefits

• Collaborative and caring community • Hands-on experience • Certifications • Industry training • Equal employment opportunity • Reasonable accommodation for disabilities or religious observances • Wide variety of benefits (details provided via employer benefits link)

Apply Now

Similar Jobs

🕒 September 30

Zifo

1001 - 5000

💼 Consulting

🏥 Healthcare

📦 Logistics

Senior Data Engineer building clinical-trial data infrastructure for Zifo’s global R&D solutions provider. Developing ingestion, knowledge graphs, RAG pipelines, and APIs for AI-assisted trial design.

🇺🇸 United States – Remote

💵 $130k - $160k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

infoinfo

🕒 September 30

Intertwine Associates

1 - 10

🏥 Healthcare

📦 Logistics

📣 Marketing

AI/Data Engineer building Python ETL workflows, Azure data services, and ML-ready infrastructure. Supporting federal and regulated clients with scalable, governed data platforms.

🇺🇸 United States – Remote

💵 $95k - $125k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Azure

Cloud

ETL

Flask

Microservices

Numpy

Pandas

Python

PyTorch

Scikit-Learn

SQL

Tensorflow

🕒 September 30

Intertwine Associates

1 - 10

🏥 Healthcare

📦 Logistics

📣 Marketing

Senior AI/Data Engineer leading Azure data platforms, machine learning, and LLM applications. Delivering secure, governed solutions for federal agencies and other clients.

🇺🇸 United States – Remote

💵 $130k - $175k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

AWS

Azure

Cloud

ETL

Microservices

Numpy

Pandas

Python

PyTorch

Scikit-Learn

SQL

Tensorflow

🕒 September 30

WISEcode

11 - 50

🍽️ Food & Beverage

🏥 Healthcare

🤖 Artificial Intelligence

Software Developer & Data Engineer building WISEcode’s food intelligence lakehouse. Designing ingestion, entity resolution, and data pipelines powering food decisions.

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🕒 September 29

Stellic

51 - 200

📚 Education

☁️ SaaS

Platform Data Architect integrating university student information systems for Stellic’s student-success platform. Owning partner deployments, data feeds, migrations, and scalable integration standards.

🇺🇸 United States – Remote

💵 $118k - $173k / year

💰 $11M Series A - Stellic on 2022-03

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer