Healthcare TDM Architect: Data De-Identification Lead

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 83,000 - 138,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX invites an Informatica TDM Architect to lead test data manufacturing and de-identification for healthcare payer data. You will own data flow design, apply IBM Optim and Informatica TDM to create non-production data subsets, and collaborate with on-site and offshore teams to meet milestones.

Key strengths include deep healthcare domain experience, DBA skills, and excellent communication to present findings and recommendations to stakeholders.

Qualifications

• 5+ years working with Healthcare payer.
• 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 hands on experience in Healthcare Payer industry.

Responsibilities

• Understand existing database or data source models and own production data de-identification and sub-setting.
• Analyze application landscape, identify data flow diagrams across apps/systems, extract data dictionaries.
• Extract relationships between databases and tables.
• Read and understand data dictionaries of source systems.
• Coordinate with customer stakeholders to implement data de-identification, sub-setting and refresh.
• Groom Informatica TDM best practices and lead project teams.

Skills

Healthcare payer experience

Test Data Manufacturing

Data flow understanding

Team collaboration

Project planning/execution

Education

Certified in Database Administration/ Programming/ Informatica TDM

Tools

IBM Optim

Informatica TDM

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX invites an Informatica TDM Architect to lead test data manufacturing and de-identification for healthcare payer data. You will own data flow design, apply IBM Optim and Informatica TDM to create non-production data subsets, and collaborate with on-site and offshore teams to meet milestones.

Key strengths include deep healthcare domain experience, DBA skills, and excellent communication to present findings and recommendations to stakeholders.