Lead Data Engineer - Data Engineering

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