Principal Data Lead

🕒 July 10

🇺🇸 United States – Remote

💵 $188.7k - $200k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 17%

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Logo of eSimplicity

eSimplicity

51 - 200 employees

Founded 2016

💼 Consulting

🏥 Healthcare

⚕️ Healthcare Insurance

Consulting • Healthcare • Healthcare Insurance

eSimplicity is a company comprised of designers, engineers, and strategists that excels in creating digital services and healthcare IT solutions. They simplify complexity to deliver award-winning products and services that enhance customer experiences, improve public health, and secure the nation. Specializing in areas such as healthcare IT, telecommunications, identity management, and fraud prevention, they work with organizations like the Centers for Medicare & Medicaid Services (CMS) to improve healthcare access and quality. eSimplicity is recognized for their innovative approaches in spectrum management, data analytics, and machine learning, aiming to broaden healthcare coverage and simplify processes for healthcare providers and beneficiaries.

📋 Description

• Lead data strategy execution, data supply chain and metadata maturity leadership • Oversee data platform operations, distributed processing, programming and query languages • Operate and improve source onboarding, ingestion, transformation, data quality • Advance the program’s data trust model • Establish and monitor data quality and processing timeliness practices • Coordinate with data owners and teams • Ensure metadata maturity advances as a tracked, multi-year effort • Support governed self-service analytics, certified dashboards, and secure data sharing

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Math, or other related scientific or technical discipline • twelve years of general information technology experience • 14+ year's experience in software engineering • All candidates must pass public trust clearance through the U.S. Federal Government • Demonstrated ability to lead enterprise data strategy, data engineering, data governance, metadata, data quality, or data platform operations • Experience with lakehouse or comparable data platform operations • Working knowledge of distributed processing, programming and query languages, governance layers, metadata management, lineage, data cataloging, and governed data asset promotion • Ability to define and manage data quality standards, data promotion criteria, source onboarding patterns • Experience collaborating with product, engineering, BI, AI/ML, security, privacy, support, and business stakeholders • Knowledge of sensitive Government data handling

🏖️ Benefits

• medical, dental, and vision coverage • 401(k) retirement benefits • paid time off • paid holidays • life and disability insurance • additional wellness and employee support programs

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