Primary Duties & Responsibilities:

Lead design, development, and automation of scalable analytic data engineering products leveraging Machine Learning and cloud infrastructure
Lead design, build, and operationalization of monitoring and tracking of data quality and data flow dynamics
Optimize existing data processes and implement best-in-class data transformation capabilities
Leverage advanced statistical and computational methodologies to deliver insights and identify strategic opportunities
Implement Data Ingestion Framework and reusable components for data pipelines and ad-hoc data ingestions
Assist with development and storage of analytics-ready data for analytic deliverables
Recommend data products to solve business problems meeting multiple stakeholder requirements
Drive project planning processes and delegate non-complex tasks to junior team members
Mentor team members and assist with priority setting and issue resolution
Maintain a data and information environment that provides consistent and accurate reporting
Leverage Machine Learning to enhance developed solutions
Collaborate with business and client representatives to target strategic analytics opportunities and define deliverable scope
Facilitate resolution of project issues, documenting recommendations
Manage multiple initiatives in parallel and conduct review meetings with stakeholders
Analyze model errors and design strategies to overcome them
Implement best practices for data engineering to ensure quality delivery of enterprise solutions
Apply expert knowledge of data visualization tools and techniques to drive business analytics and semantic data access requirements
Work closely with business users, vendors, and delivery teams to understand requirements for business analytics and reporting solutions
Conceptualize, design, and develop data visualization solutions to communicate insights effectively
Drive business stakeholder adoption of insights-driven decision making and/or business process innovation
Lead knowledge transfer around using data visualizations to business stakeholders
Assist in developing best practices for data presentation and sharing across the organization
Ensure data visualization standards are maintained and implemented
Reduce data to the minimal necessary to optimally communicate a message
Provide technical leadership, coaching, and mentoring to team members and business users
Participate in POC projects and provide business analytics solution recommendations
Evaluate new visualization tools and research best practices
Contribute to strategic planning meetings providing guidance on system options, risk, cost-benefit, and business impacts
Maintain expertise in multiple technical environments and possess broad business knowledge
Responsible for BI Tool administration security functions as designated

Educational Qualifications:

Bachelor's Degree in Statistics, Computer Science, Information Technology, or a related discipline

Preferred Certifications:

Advanced Data Analytics Certifications
AI and ML Certifications
SAS Statistical Business Analyst Professional Certification

Work Experience:

6+ years of relevant experience in healthcare data analytics or data engineering

Behavioral Skills:

Conflict Resolution
Creativity & Innovation
Decision Making
Planning
Presentation Skills
Risk-taking

Technical Skills:

Advanced Data Visualization Techniques
Advanced Statistical Analysis
Big Data Analysis Tools and Techniques
Data Governance
Data Management & Modelling
Data Quality Assurance
Machine Learning and AI Fundamentals
Programming Languages: SQL, R, Python

Tools Knowledge:

Business Intelligence Software: Tableau, Power BI, Alteryx, QlikSense
Data Visualization Tools
Microsoft Office Suite
Statistical Analytics Tools: SAS, SPSS

Lead Data Engineer - Data Engineering