SAP Data Lead Remote Location

Overview

Remote
$90 - $90
Accepts corp to corp applications
Contract - W2
Contract - 12 month(s)

Skills

SAP
Data Migration
ETL
SQL
Project Management

Job Details

Bismarck ND

Job Description:

>> Lead and manage all phases of data migration projects, from planning and design to execution, testing, and go-live support.

>> Develop and implement data migration strategies, including data profiling, cleansing, transformation, validation, and reconciliation.

>> Utilize various data migration tools, including Syniti, to automate and streamline the migration process.

>> Design and develop ETL (Extract, Transform, Load) processes for migrating data from legacy systems to SAP and SuccessFactors.

>> Collaborate with business stakeholders to understand data requirements and ensure data integrity and accuracy.

>> Work closely with technical teams to ensure seamless integration between legacy systems and SAP environments.

>> Perform data quality checks and resolve data inconsistencies and errors.

>> Document data migration processes, procedures, and best practices.

>> Provide post-implementation support and troubleshooting.

>> Mentor and guide junior data migration team members.

>> Stay up-to-date with the latest data migration technologies and trends.

>> Manage project timelines, budgets, and resources effectively.

>> Proactively identify and mitigate risks associated with data migration projects.

>> Ensure compliance with data governance and security policies.

Requirements:

>> Bachelors degree in Computer Science, Information Systems, or a related field.

>> Minimum of 15 years of experience in data migration, with a strong focus on SAP implementations.

>> Extensive experience migrating HR data to SuccessFactors.

>> Proven experience migrating data for other SAP modules (e.g., Finance, Materials Management, Sales & Distribution).

>> Hands-on experience with data migration tools, including Syniti.

>> Strong understanding of data migration methodologies and best practices.

>> Expertise in data profiling, cleansing, transformation, and validation techniques.

>> Proficiency in SQL and other data manipulation languages.

>> Excellent communication, interpersonal, and collaboration skills.

>> Ability to work effectively in a fast-paced, dynamic environment.

>> Strong problem-solving and analytical skills.

>> Experience with project management methodologies (e.g., Agile, Waterfall).

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