Director, Data Platform Design & Strategy

MedImpact Healthcare Systems, Inc.•San Diego, CA

7d•$155,380 - $287,451•Onsite

About The Position

MedImpact Healthcare Systems, Inc. is looking for extraordinary people to join our team! Why join MedImpact? Because our success is dependent on you; innovative professionals with top notch skills who thrive on opportunity, high performance, and teamwork. We look for individuals who want to work on a team that cares about making a difference in the value of healthcare. At MedImpact, we deliver leading edge pharmaceutical and technology related solutions that dramatically improve the value of health care. We provide superior outcomes to those we serve through innovative products, systems, and services that provide transparency and promote choice in decision making. Our vision is to set the standard in providing solutions that optimize satisfaction, service, cost, and quality in the healthcare industry. We are the premier Pharmacy Benefits Management solution! The Director, Data Platform Design and Strategy orchestrates and leads several functional areas within the data platform under Technology Services. This position works at the strategic level for optimizing and streamlining processes and defining data platform design and strategy roadmaps. The role is responsible for evolving and modernizing the enterprise Business Intelligence reporting platform and data infrastructure to enhance output capabilities. This position also oversees enterprise projects from the initiation phase through production readiness and ultimately capability management.

Requirements

BA/BS Degree or equivalent; plus 10 years’ related experience; 10 years of SME in respective area(s); (or equivalent combination of education and experience); and 8 years supervisory experience; Supervisory experience may be substituted with 10 years of MedImpact experience plus an appropriate external leadership training program and internal mentorship with a seasoned leader at the Director level or above that must be completed within 12 months in new position.
Proficient in data architecture, data topology and emerging data technology and strategies.
Proficient with MS Suite (Word, Excel, Visio, Outlook, Project) to create data strategy roadmaps, manage priorities and share vision for organization growth.
Expertise in model business intelligence platforms and advanced visualization techniques
Strong proficiency in Data Science, Machine Learning and AI frameworks to support predictive and prescriptive modeling
Understanding of Generative AI (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) for predictive analytics.
Proficient in architecting and managing high-performance relational Database Management Systems (e.g., Oracle & PostgreSQL), distributed OLAP databases (e.g., StarRocks) and cloud-native data warehousing solutions.
Knowledge of software architecture and system design skills.
Sound knowledge of PBM / Healthcare industry standard best practices and innovations in the realm of data platform
Extensive knowledge of strategy setting, program requirement, product development and project management methodologies
Demonstrated analytical and logical reasoning
Adept in problem solving and change management
Demonstrated ability to be client focused, responsive, flexible, and positive
Ability to work effectively with external partners/vendors to implement new solutions.
Proven ability to work as a team player and collaborate effectively with peers
Excellent time management skills and ensure deadlines are met.
Demonstrated ability to influence others in meeting enterprise goals.
Excellent organizational and communication skills (both written and verbal).

Nice To Haves

Experience in re-piping or re-engineering of data infrastructure.
Experience working with data infrastructure on prem and cloud.
Experience in data science, machine learning and AI is a plus.
Experience working with agile methodology is a plus.

Responsibilities

Creates and maintains strategy and forward-looking data product execution plans for enterprise data platform
Drives AI innovation by leveraging data to provide predictive and prescriptive analytics to internal and external customers
Identifies and implements AI-driven solutions to increase intelligent operational efficiencies across the organization.
Directs the modernization of the Business Intelligence (BI) reporting ecosystem to ensure high-quality, actionable data output for stakeholders.
Develop and maintain data platform roadmaps that are aligned with enterprise vision and goal
Works in partnership with technical experts, enterprise architects, business analysts, and developers from strategic partners (internal and external) to design and guide new IT solutions.
Manages and leads subordinates in the management and administration of data platform and champions automaton to improve current processes within the data engineering area.
Provides technical guidance and mentors team members from both a technical and professional perspective.
Monitors and directs all data engineering functions to ensure solution design meets standard architecture considerations, including database structures and security.
Lead the assessment of current systems and evaluates marketplace solutions to create a technical vision/roadmap for implementing state of the art systems.(Including build/buy recommendations to leadership)
Provides day-to-day management and supervision for data engineering team by directing and coordinating activities consistent with established goals, objectives, and policies.
Provides hands-on design guidance and documentation as needed.
Develops and maintains solid working relationships with employees and management in cross-functional areas.
Keeps up to date with emerging IT trends and technologies and the industry’s best practices.