Hands-on experience in developing data designs including data models for complex technology transformation programs.
Rich experience in building automated workflows for data profiling and anomaly detection.
Experience in designing robust metadata tagging systems to power Retrieval Augmented Generation and reduce model hallucinations.
Experience in working with Streaming platforms like Apache Kafka.
Requirements:
Provide data technology leadership, oversight, and guidance to ensure that the solution adheres to PSS Architecture Guiding Principles and standards while maximizing reuse of technology assets.
In depth experience in performing Buy vs Build analysis based on the qualitative and quantitative analysis across the available options to provide a final recommendation based on the rationale.
Play a key leadership role in architecture design reviews and identify gaps and recommend design changes.
Actively lead and participate in the Architecture community to drive modernization opportunities for the advancement of PBM data technologies.
Job description
Position Summary: We are creating new solutions to make health care more accessible, more integrated, and more reliable for more people. We are looking for passionate, motivated people who want to join a growing team to make a difference in customers' lives and who want to be on the ground floor of innovation that aims to reinvent what a health care company can be. The Lead Architect, Data architecture and Solution Engineering, will be responsible for developing and executing the data strategy at the business unit level that powers the most advanced end-to-end solution architecture for highly complex and significant technology transformation initiatives in partnership with key business and IT stakeholders. Roles and Responsibilities • Provide data technology leadership, oversight, and guidance to ensure that the solution adheres to PSS Architecture Guiding Principles and standards while maximizing reuse of technology assets. • In depth experience in performing Buy vs Build analysis based on the qualitative and quantitative analysis across the available options to provide a final recommendation based on the rationale. • Play a key leadership role in architecture design reviews and identify gaps and recommend design changes. • Actively lead and participate in the Architecture community to drive modernization opportunities for the advancement of PBM data technologies while keeping in mind the complexities of our technology landscape. • Develop Reference data architectures, guardrails, and guidelines to instill a strong data discipline, providing leadership, coaching, and guidance to Engineering and Product teams across the organization. • Lead and drive proofs-of-concept and technology deep-dives especially in leveraging AI to power business analytics. • Advise and assist App development teams with technical roadblocks such as performance challenges within a solution in key strategic initiatives. Required Qualifications • Hands-on experience in developing data designs including data models for complex technology transformation programs. • Rich experience in building automated workflows for data profiling and anomaly detection. • Experience in designing robust metadata tagging systems to power Retrieval Augmented Generation and reduce model hallucinations. • Experience in working with Streaming platforms like Apache Kafka. • 5+ years in overall design/development experience, with hands-on work experience in Python or functional programming languages like Scala etc. • In Depth cloud platform skills and 5+ years of hand-on experience with major public cloud platform including GCP, AZURE and AWS • 2+ years in hands-on AI/ML (including GenAI) experience and hands-on expertise with automating processes. • Bachelor’s in computer science, or related field. Preferred Qualifications • Health Care Industry domain knowledge. • Robust understanding of both SQL and NoSQL database technologies. • Experience in creating data architecture for modernization of legacy mainframes/mid-range AS400 applications. • Master’s in computer science, or related field.
