Solution Developer II - Automation & Innovation Management

What You Can You 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 the 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.

Key Responsibilities

1. Utilize critical thinking skills to identify and develop automated processes to address complex business use cases that require manual intervention due to heavily repetitive or monotonous tasks. You will also need to evaluate the ROI of potential automation solutions to prioritize high-value use cases.
2. 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.
3. Develop a deep understanding of industry and organizational best practices and use this knowledge to create and define processes that are efficient, effective, and aligned with business objectives.
4. 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.
5. Possess a strong understanding of data engineering principles, including data wrangling/transformation, tools or programming languages, and data visualization/BI technologies. This includes the ability to evaluate data sources and develop effective data models to support automation solutions.

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.

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.
• Hybrid schedule.
• CalPERS retirement.
• 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

Education & Requirements

• Bachelor’s degree in computer science, Data Science, Machine Learning, or relevant technical field from an accredited institution required.
• In lieu of the required degree, a minimum of an Associate’s Degree and two (2) years of additional relevant work experience is required for this position.
• This experience is in addition to the minimum years listed in the Experience Requirements below.

• A minimum of four (4) years of information systems experience, including a successful track record with:

  • IT transformation track-record as an RPA/AI/ML developer, solutions developer, or solutions architect
  • Successful creation and running of an Enterprise Architecture function.
  • Played the role of an evangelist, bringing in thought leadership to the organization.
  • Bringing together stakeholders from different areas of the business to identify potential automation use cases and ensure that everyone's input is heard. 
  • Facilitating discussions around potential solutions and help to drive consensus on the best approach.

Key Qualifications

• Working with data automation platforms.
• Demonstrating ability to work in one or more common programming languages: SAS, SQL, Python, R.
• Working with predictive and descriptive analytics and working with machine learning.
• Working with data engineering/data science and other analytics team to establish data sources that serve business needs around analytics & scenario modelling.
• All information technology security protocols and procedures.

Start your journey towards a thriving future with IEHP and apply!