Job Description
Optum is a global organisation that delivers care, aided by technology to help millions of people live healthier lives.
The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. We're looking for a thought leader who thrives on architecting new solutions to solve tough challenges, and to help us advance health equity on a global scale.
About the Role
We want to make healthcare work better for everyone. This depends on hiring the best and brightest. With a thriving ecosystem of investment and innovation, our business in Ireland is constantly growing to support the healthcare needs of the future.
Primary Responsibilities:
* Architect the solutions; collaborate with stakeholders and internal business partners to understand business requirements and translate them into analytical solutions
* Design, code, test, document, and maintain high-quality and scalable Big Data solutions, delivered on time
* Accountability for socialising to the leadership; provide insights and guidance into actionable analytic findings through clear, succinct written and oral summaries, tables, charts, reports or presentations, that can be understood by a variety of audiences
* Synthesise business requirements and translate into technical specifications. Define technical, data and system configuration specifications and business analysis requirements
* Identify gaps, process improvement, and automation opportunities, and lead such activities to execution
* Anticipate customer needs, proactively develop & deliver solutions to meet them, and forecast/predict the impact to the business
* Develop insights regarding the effectiveness of existing analytic tools and methodologies and recommend changes
* Utilise a broad range of analytic approaches including predictive analytics, issue detection, trend analysis, and data visualisation to best address the business priorities
* Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement
* Develop proficiency with departmental programming, analytic, and reporting software and other tools
* Comply with and contribute to departmental standards related to data, data governance, project planning, validation, and documentation
* Migrate data from legacy systems to new solutions
* Mentor junior resources to develop their analytic skills
* Design conceptional and logical data model and flowcharts
Required Qualifications:
* Bachelor's Degree in relevant field (data science, analytics, mathematics, economics, business, statistics, engineering, or finance) or equivalent experience
* Extensive experience working within technical and business professionals in a matrix management environment, managing multiple priorities and deadlines
* Proven track record of leading analytics projects requiring experience with statistical models with an understanding of different statistical methods and approaches
* Clearly demonstrated expertise in problem solving, data management, study design, and study implementation
* Advanced experience in Machine Learning or AI model development and deployment
* Expert proficiency in SQL, and at least one scripting language such as SAS, R, or Python
* High degree of proficiency with Data Visualisation / Dashboard tools (e.g., Power BI)
* Extensive experience (end to end) in Machine Learning Algorithms on OCR, Voice, Speech, Deep Learning, Transformers etc.
Preferred Qualifications:
* Ph. D or Master's Degree in relevant field (data science, analytics, mathematics, economics, business, statistics, engineering, or finance) or equivalent experience
* Experience or knowledge of cloud-based data analytics e.g. (AWS, Azure, Snowflake)
* Experience in medical data including hospital, ancillary, and physician
* Experience in Generative AI Use Cases leveraging LLM's and exposure to LLMs like Langchain, RAG, ChatGpt 4 and Chatgpt 4oc
* Understanding of Medicare risk adjustment programs