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Solution Developer II - Automation & Innovation Management

Job in Rancho Cucamonga, San Bernardino County, California, 91739, USA
Listing for: Inland Empire Health Plan
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

What you can expect!

Find joy in serving others with IEHP! We welcome you to join us in “healing and inspiring the human spirit” and to pivot from a “job” opportunity to an
authentic experience!

The Solution Developer II - Automation & Innovation Management will focus on key technology domains including business process automation, data curation, industrialized analytics, machine learning & Artificial Intelligence and scalable delivery platform. As a member of the Automation and Innovation Center of Excellence (COE), you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution while contributing to automation development best practices.

Work with Quality Engineering to ensure automated solutions meet the needs, criteria, and business rules and regulations. This position will collaborate with information technology security to ensure the highest product security standards are met.

This role will work with business stakeholders to scope potential processes for automation and develop Proof of Concepts (POCs) for solutions that will enhance business processes by incorporating increased automation, integrating quality data, developing analytic capabilities, and utilizing technology to deliver quality outputs in less time. Review current state process capture documents and implement process re-engineering to support automation and transform use cases into tangible assets.

Collaborate with stakeholders, Robotic Process Automation (RPA) and technology service vendors, business analysts, and technical analysts. Review output and follow recommendations to optimizations and improve success rate for both in development and in production automations. Develop and document best practices for developing software robots.

Commitment to Quality:
The IEHP Team is committed to incorporate IEHP’s Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.

Additional Benefits

Perks

IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.

  • Competitive salary
  • State of the art fitness center on-site
  • Medical Insurance with Dental and Vision
  • Life, short-term, and long-term disability options
  • Career advancement opportunities and professional development
  • Wellness programs that promote a healthy work-life balance
  • Flexible Spending Account – Health Care/Childcare
  • CalPERS retirement
  • 457(b) option with a contribution match
  • Paid life insurance for employees
  • Pet care insurance
Key Responsibilities
  • Identify and develop automated processes to address complex business use cases that require manual intervention due to heavily repetitive or monotonous tasks utilizing critical thinking skills. Evaluate the ROI of potential automation solutions to prioritize high-value use cases.
  • Solve complex problem statements related to automation and business processes across all lines of business, business units, and programs. This includes collaborating with stakeholders from different areas of the business to understand their needs and identify potential solutions.
  • Create and define processes that are efficient, effective, and aligned with business objectives utilizing deep understanding of industry and organizational best practices.
  • Develop RPA, Low-Code/No-Code solutions using various software tools to create automation solutions that align with defined business and functional requirements. You will need to have experience with multiple tools and be able to evaluate and select the most appropriate tool for each use case.
  • Evaluate data sources and develop effective data models to support automation solutions utilizing strong understanding of data engineering principles, including data wrangling/transformation, tools or programming languages, and data visualization/BI technologies.
  • Use critical thinking to develop automated processes to solve problems related to business use cases, specifically requiring manual intervention due to heavily repetitive or monotonous tasks, with consideration to high value use cases with considerable ROI.
  • Use a broad…
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