An Analytics Deployed Forward Software Engineer 3 leads the design and delivery of complex business intelligence and software solutions within healthcare, overseeing cross-functional initiatives and mentoring team members within the enterprise Business Intelligence (BI) team. This role requires expertise in software engineering, data architecture, AI/ML, cloud platforms, and BI tools, with responsibilities including customer engagement, process optimization, solution architecture, and leveraging AI-driven development to enhance operational impact and technical outcomes. As we strive for innovation and excellence, be part of our journey to become a world-class organization, shaping the future of healthcare with cutting-edge technologies and forward-thinking strategies.
Essential Functions:
- Lead the strategic design, development, and maintenance of enterprise-level BI tools and operational applications.
- Serve as a functional team lead, providing technical guidance and mentorship to junior engineers and analysts.
- Engage directly with customer teams to understand business challenges and deliver tailored data solutions.
- Break down complex workflows into actionable steps for automation and optimization using custom software.
- Develop and deploy advanced analytics and operational software that supports strategic decision-making.
- Collaborate with cross-functional teams to solve high-impact problems using data science and engineering approaches.
- Define and improve team development processes, including coding standards, best practices, and documentation.
- Evaluate the impact of deployed solutions on business performance, metrics, and operational outcomes.
- Utilize AI-driven development tools and prompt engineering to enhance software capabilities and data analysis.
- Lead technical projects with minimal supervision, ensuring timely delivery and alignment with organizational goals.
This role will support the WARP (Widespread Agentic Rollout Platform) Agent Delivery Team.
Education Qualifications:
- Bachelor’s Degree Computer Science
- Bachelor’s Degree Engineering
- Bachelor’s Degree Data Science
- Bachelor’s Degree Related field
Experience Qualifications:
- Five (5) years of relevant technical experience required. Expert-level proficiency in SQL, Python, PySpark, TypeScript/JavaScript, and React.
Skills and Abilities:
- Advanced knowledge of Business Intelligence tools (e.g., Power BI, Tableau, Qlik Sense).
- Strong capabilities in AI/ML, including large language models (LLMs) and prompt engineering.
- Deep expertise in web development frameworks including JavaScript, HTML, CSS, React, and Angular.
- Advanced experience with version control systems such as Git and Azure DevOps.
- Proven track record of leading projects, mentoring team members, and driving strategic technical outcomes.
- Prior experience in healthcare or clinical analytics environments.
- Deep experience with cloud-based data platforms, data lakes, and relational databases.
- Demonstrated ability to apply process improvement methodologies such as Lean Six Sigma, Agile, PDCA/PDSA, and PMP to lead technical initiatives.