Healthcare Data TDM Architect for Payer & De-Identification

Artifintech

Dallas (TX)

On-site

USD 120,000 - 160,000

Full time

28 hours ago
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Job summary

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC seeks a data management expert with 5+ years in Healthcare payer domains to own production data de-identification and sub-setting. You will analyze application landscapes, extract data dictionaries, and ensure E2E data integrity across systems using IBM Optim or Informatica TDM.

Work requires coordinating with customer stakeholders, on-site and offshore teams, and delivering in milestone-driven environments with strong communication skills and a solid

Qualifications

  • 5+ years working with Healthcare payer environments.
  • US Healthcare Domain Experience is Mandatory.
  • Test Data Manufacturing through Application UI/Front end is mandatory.
  • Understanding application landscape and identifying the E2E Data flow.
  • Healthcare Data and Business knowledge with understanding of the terminology, concepts, and value chain.
  • Strong understanding of various Test data manufacturing techniques.
  • Strong hands on experience in working with Healthcare Payer industry.
  • Added advantage of having IBM Optim experience.
  • Experience in TDM solutioning (Data de-identification, sub-setting).
  • Solid understanding of information warehousing and large-scale data management issues and concepts.
  • Solid understanding of physical database design.
  • Ability to work towards meeting stringent milestones.
  • Ability to work in a team environment with on-site and offshore resources.
  • Proven project planning, execution abilities with strong communication and interpersonal skills.
  • Strong analytical skills.
  • Excellent work history and attendance record.
  • Certified in Database Administration/ Programming/ Informatica TDM

Responsibilities

  • Understand existing database or data source models and own solutions for production data de-identification and sub-setting into lower environments.
  • Analyze existing application landscape, identify data flow across applications and extract data dictionaries from source systems.
  • Extract relationships between different databases and corresponding tables.
  • Read and understand data dictionaries of source systems.
  • Healthcare business domain knowledge related to accounts/groups/members/providers and claims manufacturing.
  • Test Data Manufacturing using the application front end, UI, files, etc.
  • Understand E2E Data flow, dependencies and ensure data integrity across applications, products and product lines.
  • Handle different types of DB and expertise in DQL, DDL, DML and Support DBA activities for data copying/backup.
  • Configure subset/filters for IBM Optim or Informatica TDM for data subset for various source data systems.
  • Data Validation of subsets created.
  • Coordinate with customer stakeholders to implement data de-identification, sub-setting and refresh into lower environments.
  • Grooming project team members on Informatica TDM best practices.
  • Help understand customer environments and coordinate with infrastructure teams for capacity/resizing.
  • Data Profiling of de-identified data copies for quality assessment.
  • Capture subset metrics for reporting.
  • Design a framework for data governance in non-production environments to arrest production data flow.
  • Direct teams to implement the framework designed.

Skills

Healthcare payer domain
IBM Optim
Informatica TDM
Data de-identification
Data sub-setting
SQL / DDL / DML
Database administration
Team coordination
Project planning
Communication skills

Tools

IBM Optim
Informatica TDM
SQL

Job description

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC seeks a data management expert with 5+ years in Healthcare payer domains to own production data de-identification and sub-setting. You will analyze application landscapes, extract data dictionaries, and ensure E2E data integrity across systems using IBM Optim or Informatica TDM.

Work requires coordinating with customer stakeholders, on-site and offshore teams, and delivering in milestone-driven environments with strong communication skills and a solid

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