Healthcare Data Strategy Leader

791 Chickasaw Federal Health, LLC; Washington (District of Columbia); Hybrid; USD 135,000 - 215,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k) Immediate Vesting

Life Insurance

STD/LTD Insurance

Professional Development Assistance

Legal Aid Assistance Program

Family Planning / Fertility Assistance

Paid Time Off

Federal Holidays

Job summary

Chickasaw Nation Industries, Inc. seeks a Data Analyst V to lead operations and steer strategic data analytics projects for senior management decision-making.

Establishes enterprise-wide data standards and deploys automation to extract, synthesize, and validate diverse data from multiple sources. Responsibilities include guiding the analytics vision, governance, and scalable AI initiatives in healthcare, building an integrated analytics framework, and leading a high-performing team using Python,

Qualifications

• Bachelor's degree and a minimum of twelve (12) years relevant experience.
• Experience designing and managing large-scale databases and ensuring data quality.
• Must be able to obtain and maintain the required customer clearance for access to systems and facilities.

Responsibilities

• Architects and directs the company-wide data analytics vision.
• Identifies data and interoperability considerations affecting AI in healthcare.
• Leads governance and quality practices for healthcare data in AI solutions.
• Guides analytics modernization using big data technologies and advanced modeling.
• Partners with executives to define data-driven strategic initiatives.
• Builds an integrated, enterprise-wide analytics framework and dashboards.

Skills

Data analytics leadership

Stakeholder communication

Strategic thinking

Team leadership

Education

Bachelor's degree

Tools

Python

R

SQL

Job description

Chickasaw Nation Industries, Inc. seeks a Data Analyst V to lead operations and steer strategic data analytics projects for senior management decision-making.

Establishes enterprise-wide data standards and deploys automation to extract, synthesize, and validate diverse data from multiple sources. Responsibilities include guiding the analytics vision, governance, and scalable AI initiatives in healthcare, building an integrated analytics framework, and leading a high-performing team using Python,