Are you looking for a high energy, strategic, and fast-paced position as a VP of Data Science? Join Relias, the company changing lives throughout the world by helping healthcare organizations improve their clinical outcomes!
Relias provides software and services to more than 10,000 healthcare organizations and providers, addressing the primary concerns of recruiting, retention, risk mitigation, compliance, and the move from fee for service to value-based reimbursements. In addition to unrivaled content, Relias offers pre-hire assessments and in-depth analytics that allows for the demonstration of skill and performance, resulting in better patient, resident and client outcomes, as well as better financial results. We are passionate about our product and our clients; what we deliver is truly something you can be proud to represent. Our clients think so, too - we proudly boast a retention rate close to 100%!
WHAT CAN RELIAS OFFER YOU?
Competitive base salary
Fantastic health and wellness benefits package, including an outstanding 401k match, an unlimited PTO program, and paid holidays, including your birthday!
Comprehensive two-week onboarding program - a great introduction to our company, customers and culture!
Growth and career advancement opportunities!
Integrated 15 acquisitions over the last five years
20%+ annual employee promotion and transfer rate
The VP of Data Science is a senior leader at Relias responsible for setting the organizational vision for cloud-based research technology, business intelligence and information management strategy, managing a technical team of data scientists, data engineers, data architects and product owners as well as co-leading the cross-departmental community of data champions.
WHAT YOU'LL BE DOING:
Providing direct company data governance and master data management (MDM) process
Driving cross-departmental collaboration on data and business intelligence topics by partnering with colleagues from the engineering, finance, information security, IT, professional services, product management and L&D teams
Partnering with leaders across the business to ensure that existing data and business intelligence technology meets the needs of business users and delivers value to the company. This includes, but is not limited to sourcing new use cases, ensuring that team members have resources necessary to achieve responsibilities, and prioritizing the backlog of use cases
Communicating business value of data and data-related technology investments and objectives to company leadership
Planning and managing data team budget, creating measures of performance to assess ROI, and being accountable for achieving those metrics
Directly supervising a medium-sized team with an end state of 8 to 10 professionals
Developing existing talent and identifying, screening and hiring new talent to meet data team needs
YOU'VE GOT WHAT IT TAKES IF YOU HAVE:
Bachelor's degree and 10 years of relevant professional work experience in technology company
Strong knowledge of business intelligence solution lifecycle, ERP architectural standards, organizational change management, Agile methodology and process models such as the cross-industry standard process for data mining (CRISP-DM).
Familiarity with best in class analytic technologies (OLAP / OLTP) for data visualization, cloud storage and data streaming architectures, model selection, supervised and unsupervised AI design and performance analytics
Understanding of the pros and cons of modern data technology stacks and enterprise architectures
Strong business acumen, ability to tie technology objectives to company business objectives
Knowledge of agile methodologies for application development and support
Track record of managing complex technology projects including vendor management
Relias is an Equal Opportunity Employer and a Drug-Free workplace
Company: Relias LLC
Country: United States of America
State/Region: North Carolina
Postal Code: 27560
Job ID: 78742
Date: May 6, 2020
Morrisville, NC, US, 27560
Nearest Major Market: Raleigh
Job Segment: Database, Engineer, Data Management, Application Developer, Technology, Engineering, Data, Research
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