Pay
$105K–$170K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 109 postings in the last year. Stated ranges, not salaries paid.
SAP Data Management Consultant
Washington, United States
Open 5 months, first seen by us 161 days ago- Pay
- Pay not listedSimilar roles state $105K–$170K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- US citizens only
Must be US Citizen
What you’ll work on
Full postingDefine source-to-target mappings and detail levels for audit and DATA Act needs
Design, build, and test conversion code and processes
Develop data profiling, cleansing, reconciliation and ETL processes for financial data
Identify conversion-relevant data across source and feeder systems
Document historical data requirements for cleansing and conversion
From the employer’s posting
Define the source to target mappings and determine the level of detail needed for transactions to satisfy the audit and DATA Act requirements
Design, build, and test all code and processes required for conversion
Develop data profiling, cleansing, reconciliation and ETL processes to cleanse and convert financial data
Identify the conversion relevant data in the source systems.
Elicit and document the requirements for historical data for cleansing and conversion
What you’ll bring
All qualificationsCore experience
- 3-5 Years of SAP Data Conversion Experience
- Bachelor’s Degree – Required
- 3-5 years of SAP Federal Financial implementation experience
- Experience creating Functional and Technical Specification of Validation Rules - Describing the functional and technical specification of Business validation rules listed per data object.
- Experience creating data profiling report with validation rules - Validation rules will be run to perform specific tests on the data.
- Experience with data cleansing and creating SAP data validation and ETL programs
Qualification wording
3-5 Years of SAP Data Conversion Experience
Bachelor’s Degree – Required
3-5 years of SAP Federal Financial implementation experience
Experience creating Functional and Technical Specification of Validation Rules - Describing the functional and technical specification of Business validation rules listed per data object.
Experience creating data profiling report with validation rules - Validation rules will be run to perform specific tests on the data. These tests may validate business rules, target system rules, format of data, or ensure that the data exists in a reference table. The profiling report will provide details on the outcome of running the validation rules
Experience with data cleansing and creating SAP data validation and ETL programs
Education & alternatives
Minimum Education: - Bachelor’s Degree – Required Required Certifications:
Posting record
Report an errorOpen 5 monthsWe first saw this posting 161 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026161 days ago
- Recorded sightings
- 193
- Last seen by us
- Nov 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 161
Up longer than most. Similar jobs usually come down between day 6 and day 53.
From 1,545 similar postings that came down. Coming down is not always a hire.
Genesis Consulting is hiring
7 open jobs
- No new data jobs since June
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- SAP
- SQL Server
Where the posting names them
- Experience leading and participating in multiple SAP Mock conversion tests - Experience with converting data from SQL, Informix, DB2, IDMS COBOL and SAP CRM - Experience with ETL tools - SAP Business Objects Data Services, IBM InfoSphere DataStage, SQL Server Integration Services (SSIS)
- Experience with converting data from SQL, Informix, DB2, IDMS COBOL and SAP CRM - Experience with ETL tools - SAP Business Objects Data Services, IBM InfoSphere DataStage, SQL Server Integration Services (SSIS) Minimum Education:
Minimum Qualifications/Experience: - 3-5 Years of SAP Data Conversion Experience - 3-5 years of SAP Federal Financial implementation experience
- 3-5 Years of SAP Data Conversion Experience - 3-5 years of SAP Federal Financial implementation experience - Experience creating Functional and Technical Specification of Validation Rules - Describing the functional and technical specification of Business validation rules listed per data object.
- Experience creating data profiling report with validation rules - Validation rules will be run to perform specific tests on the data. These tests may validate business rules, target system rules, format of data, or ensure that the data exists in a reference table. The profiling report will provide details on the outcome of running the validation rules - Experience with data cleansing and creating SAP data validation and ETL programs - Experience leading and participating in multiple SAP Mock conversion tests
- Experience with data cleansing and creating SAP data validation and ETL programs - Experience leading and participating in multiple SAP Mock conversion tests - Experience with converting data from SQL, Informix, DB2, IDMS COBOL and SAP CRM
Your next step
Complete your application on genesisconsulting.zohorecruit.com. The employer’s form will show what is required.
Already applied? Track this application
Demand for Data Governance roles
New Data Governance postings at the employers we follow are up 196% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
Job description
Genesis
Consulting is a leading ERP and Enterprise Agility firm combining innovative Digital
Transformation capabilities and enabling skills to provide industry-leading
solutions to the federal government. Genesis Consulting is leading an advanced
financial management transformation at one of the largest federal civilian
agencies that implement programs designed to mitigate the significant risks of
farming through crop insurance, conservation programs, farm safety net
programs, lending, and disaster programs. The program encompasses integrating
dozens of mission critical financial applications to a modern SAP application operating
in a FedRamp Certified cloud, while reengineering business process, with the
proper internal controls and educating the impacted users and organizations on
the future digital platform.
Duties and
Responsibilities:
Other duties
include but may not be limited to:
- Provide processes and tools for
the program to ensure the legacy data being converted to SAP is complete and
accurate
- The source data to be converted
will be determined by the customer’s needs developed as the output of Business
Process Re-engineering and industry best practices
- Define the source to target
mappings and determine the level of detail needed for transactions to satisfy
the audit and DATA Act requirements
- Identify the conversion relevant
data in the source systems. In instances where all the required detail level
data is not available in a single source system, derive the rules for sourcing
and validating the required detail data from secondary related subsidiary or
feeder systems
- Elicit and document the
requirements for historical data for cleansing and conversion
- Provide the project team
information and metrics pertaining to the quality of the source data for
decision making (Size the volume and quality of data for each program or group
of programs, as appropriate)
- Provide a data governance
process
- Refine the data quality through
a data governance review process
- Work together as an integrated
team with to create a seamless experience for the customer and employee
- Design, build, and test all code
and processes required for conversion
- Provide best practices,
guidance, and support for data cleansing in preparation for a successful conversion
- Provide best practices and
support for data quality assurance during conversion development
- Develop and implement data
conversion plan in accordance with agency approved Data Governance Plan
- Develop data profiling,
cleansing, reconciliation and ETL processes to cleanse and convert financial
data
- Provide effective and efficient
management of scope, schedule, and cost for Data Management support
- Demonstrate system capability to
handle high volume data conversion with minimum downtime
Requirements
Minimum Qualifications/Experience:
- 3-5 Years of SAP Data Conversion Experience
- 3-5 years of SAP Federal Financial implementation experience
- Experience creating Functional
and Technical Specification of Validation Rules - Describing the functional and
technical specification of Business validation rules listed per data object.
- Experience creating
data profiling report with validation rules - Validation rules will be run to
perform specific tests on the data. These tests may validate business rules,
target system rules, format of data, or ensure that the data exists in a
reference table. The profiling report will provide details on the outcome of
running the validation rules
- Experience with data
cleansing and creating SAP data validation and ETL programs
- Experience leading and
participating in multiple SAP Mock conversion tests
- Experience with
converting data from SQL, Informix, DB2, IDMS COBOL and SAP CRM
- Experience with ETL
tools - SAP Business Objects Data Services, IBM InfoSphere DataStage, SQL Server Integration Services (SSIS)
Minimum Education:
- Bachelor’s Degree – Required
Required Certifications:
- No required certifications
- SAP, Agile, SAFe certifications
desired
Other:
- Must be US Citizen
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Washington, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Other: - Must be US Citizen