Intelligent Automation Engineer 1

ABOUT US

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 HCHBbeginning 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 HCHBs 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 organizations progression toward AI-augmented workflows and decision intelligence

Scope & Allocation

• 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

Measures of Success (First 12 Months)

• 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

JOB DESCRIPTION

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 HCHBs 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

Future Scope (Growth Path)

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 HCHBs intelligent automation strategy as the organization adopts AI-enabled workflows

KEY RESPONSIBILITIES

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

Data & Analytics Enablement

• 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

Process Intelligence & Collaboration

• 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

Growth Learning & Standards

• 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

REQUIRED QUALIFICATIONS

• Bachelors degree in Computer Science Engineering Information Systems or related field

• 02 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)

Preferred / Nice to Have

• 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

Note: Prior experience with RPA tools is helpful but not required. The role is designed to support the evolution beyond traditional RPA into broader intelligent automation.

HCHB requires all applicants to be US citizens or have a green card allowing them to work in the US without being subject to export control restrictions.