What are the responsibilities and job description for the Intelligent Automation Engineer 1 position at Hearst Health?
About Us
JOB DESCRIPTION
Homecare Homebase, a subsidiary of Hearst Corporation is a market leader in healthcare software development providing mobile cloud-based solutions for clinical, operational, and financial improvement of homecare and hospice agencies throughout the United States. Our software enables real time solutions for wireless information exchange and communication between office staff, field staff, and physicians.
Our success is fueled by our talented technology teams that are driven by their passion to make a difference in patient care. Our employees work in a culture that is guided by values of caring, action, respect, excellence, and smile (a positive attitude). If you want to work in a role where your skills have a direct influence on patient care, Homecare Homebase is the next step in your career. We are hiring technologists that want to make a difference.
ROLE CHARTER
Mission
Design, build, and enable intelligent automation solutions across HCHB—beginning with Tech Enabled Services (TES)—by combining process intelligence, data engineering, and modern automation techniques to improve scalability, efficiency, and decision-making, and to establish the foundation for AI-enabled operations.
The IA Engineer I role builds the foundation for HCHB’s transition from legacy automation to scalable, intelligent automation aligned to corporate strategy.
Why This Role Exists
HCHB is transitioning from task-based, tool-specific automation toward intelligent, data-driven automation aligned to enterprise strategy. The Intelligent Automation Engineer I role provides early-career engineering capacity to:
Role Summary
The Intelligent Automation Engineer I supports the design, development, and delivery of automation and analytics solutions that improve operational efficiency, scalability, and decision-making. The role will initially partner with Tech Enabled Services (TES) and Finance to deliver near-term automation and data-driven outcomes, while building the foundation for broader enterprise intelligent automation initiatives aligned to corporate strategy.
This role reflects HCHB’s transition from task-based robotic automation toward data-driven, system-integrated, and AI-enabled intelligent automation.
This role is designed for an early-career engineer with strong technical fundamentals who is interested in the evolution from task-based automation toward data-driven, AI-enabled intelligent automation across the organization. The role includes structured mentorship and hands-on guidance from senior engineering staff.
Initial Focus (Year 1)
Over time, this role will expand to:
Intelligent Automation & Engineering
CAREER PATH
This role is part of the Intelligent Automation Engineer career track:
IA Engineer I → IA Engineer II → Senior Intelligent Automation Engineer
With progression into:
JOB DESCRIPTION
Homecare Homebase, a subsidiary of Hearst Corporation is a market leader in healthcare software development providing mobile cloud-based solutions for clinical, operational, and financial improvement of homecare and hospice agencies throughout the United States. Our software enables real time solutions for wireless information exchange and communication between office staff, field staff, and physicians.
Our success is fueled by our talented technology teams that are driven by their passion to make a difference in patient care. Our employees work in a culture that is guided by values of caring, action, respect, excellence, and smile (a positive attitude). If you want to work in a role where your skills have a direct influence on patient care, Homecare Homebase is the next step in your career. We are hiring technologists that want to make a difference.
ROLE CHARTER
Mission
Design, build, and enable intelligent automation solutions across HCHB—beginning with Tech Enabled Services (TES)—by combining process intelligence, data engineering, and modern automation techniques to improve scalability, efficiency, and decision-making, and to establish the foundation for AI-enabled operations.
The IA Engineer I role builds the foundation for HCHB’s transition from legacy automation to scalable, intelligent automation aligned to corporate strategy.
Why This Role Exists
HCHB is transitioning from task-based, tool-specific automation toward intelligent, data-driven automation aligned to enterprise strategy. The Intelligent Automation Engineer I role provides early-career engineering capacity to:
- Translate business processes into scalable, automatable solutions
- Structure, validate, and integrate data that powers automation and analytics
- Build, support, and evolve automation and insight solutions across TES and Finance
- Support the organization’s progression toward AI-augmented workflows and decision intelligence
- ~60% TES / RCS (Initial Focus) Process understanding, workflow automation, and delivery of automation and analytics solutions that improve TES operations and scalability
- ~40% Finance & Broader Organization (Expanding Scope) Data engineering, KPI automation, dashboards, and support of cross-functional strategic initiatives as intelligent automation capabilities mature
- Delivery of production-quality automation and analytics solutions that reduce manual effort
- Improved cycle time, accuracy, or scalability within TES and Finance workflows
- Reliable operational and financial metrics enabling dashboards and decision support
- Documented automation patterns, data definitions, and reusable components
- Demonstrated readiness to own more complex intelligent automation initiatives with broader enterprise impact
Role Summary
The Intelligent Automation Engineer I supports the design, development, and delivery of automation and analytics solutions that improve operational efficiency, scalability, and decision-making. The role will initially partner with Tech Enabled Services (TES) and Finance to deliver near-term automation and data-driven outcomes, while building the foundation for broader enterprise intelligent automation initiatives aligned to corporate strategy.
This role reflects HCHB’s transition from task-based robotic automation toward data-driven, system-integrated, and AI-enabled intelligent automation.
This role is designed for an early-career engineer with strong technical fundamentals who is interested in the evolution from task-based automation toward data-driven, AI-enabled intelligent automation across the organization. The role includes structured mentorship and hands-on guidance from senior engineering staff.
Initial Focus (Year 1)
- Partner with Tech Enabled Services (TES) to understand and improve core operational workflows
- Collaborate with Finance / FP&A to enable reliable data, metrics, and reporting that support operational and strategic decisions
- Support the transition from legacy RPA-style automation toward more flexible, intelligent automation approaches
Over time, this role will expand to:
- Support enterprise-wide strategic initiatives that benefit from automation, analytics, and decision intelligence
- Contribute to cross-functional modernization efforts beyond TES, including Finance, Product, Operations, and Corporate initiatives
- Help shape HCHB’s intelligent automation strategy as the organization adopts AI-enabled workflows
Intelligent Automation & Engineering
- Design, build, test, and support automation and analytics solutions that reduce manual work and improve scalability
- Translate business requirements into maintainable technical solutions using scripting, workflow orchestration, and data integration
- Support and enhance existing automation assets while helping guide the transition away from task-based RPA toward intelligent automation
- Monitor, troubleshoot, and improve production automation and analytics solutions
- Extract, clean, and structure operational and financial data using Python, SQL, and related tools
- Automate data transformations, KPI calculations, and recurring analyses
- Support dashboards, reporting, and data-driven decision support for TES and Finance
- Improve data quality, validation, and reliability as inputs to automation and analytics
- Partner with TES and Finance stakeholders to understand workflows, pain points, and strategic objectives
- Document processes and system interactions with an automation-first perspective
- Identify opportunities where automation, analytics, or AI can drive measurable business impact
- Collaborate with engineering, data, and product teams as initiatives scale across the enterprise
- Develop foundational skills in intelligent automation, analytics engineering, and AI concepts
- Contribute to automation standards, documentation, and best practices
- Stay current on emerging automation and AI technologies and apply learnings where appropriate
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
- 0–2 years of experience in software development, automation, analytics, or QA
- Proficiency in at least one modern programming language used for automation or data engineering (e.g., Python, C#, Java, or similar)
- Familiarity with data querying and transformation tools (e.g., SQL, scripting, APIs)
- Strong analytical and problem-solving skills
- Ability to translate complex business and operational requirements into technical solutions
- Experience working with workflows, data pipelines, or automation logic
- Strong written and verbal communication skills, including the ability to clearly document technical and functional solutions
- Comfort collaborating with cross-functional stakeholders (Operations, Finance, Engineering)
- Experience with automation tools or workflow platforms (RPA, orchestration, or integration tools)
- Familiarity with data analysis libraries (Pandas, NumPy)
- Exposure to dashboards, BI tools, or reporting frameworks
- Interest in AI/ML concepts (e.g., forecasting, classification, anomaly detection, NLP)
- Agile or sprint-based delivery experience
CAREER PATH
This role is part of the Intelligent Automation Engineer career track:
IA Engineer I → IA Engineer II → Senior Intelligent Automation Engineer
With progression into:
- Enterprise intelligent automation
- AI-augmented workflows and decisioning
- Cross-functional strategic delivery and architecture
- Natural progression into AI-assisted automation, analytics engineering, and decision intelligence