Enterprise Data Architect

• Plays a leadership role in the definition and execution of the Information Management roadmap.

• Supports Enterprise Data Architecture roadmap by managing architectural runway for enterprise data model, enterprise data store/warehouse, information management, and advanced data analytics capabilities.

• Provides data architecture thought leadership to cross-functional teams in the areas of advanced data techniques, including data modeling, data access, data integration, data visualization, data discovery, statistical methods, database design and implementation.

• Partners with Business stakeholders, management, and teams to identify needs and guide the delivery of cost-effective, high-performance technology capabilities leveraging enterprise information architecture principles and core data assets.

• Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback.

• Establishes collaborative, cross-functional relationships; communicating information and providing advice to drive enterprise data architecture decisions forward.

• Adapts to competing demands and new responsibilities, providing feedback to others, including upward feedback to leadership.

• Influences, mentors and coaches team members, and fostering open dialogue amongst team members.

• Additional duties as assigned.

Minimum Qualifications

• Bachelors Degree from an accredited institution or High School diploma/GED from an accredited institution with equivalent work experience.

• Demonstrated leader capable of partnering / driving Business and technology colleagues in establishing a highly functioning governance model.

• A minimum of 5 years of progressively responsible experience in information/data architecture, during which both professional and management capabilities have been clearly demonstrated, preferably in the healthcare industry.

• ITIL experience or certification

• Excellent negotiation skills

• Strong motivator and team player

Preferred Qualifications:

• Advanced degree in Computer Science or related fields is a plus.

• 2+ years experience in Healthcare Enterprise Information Management.

• Certified Data Management Professional (CDMP)

• Agile Experience (Scrum, SAFe)

• Strong interpersonal skills and ability to work cross-functionally

• Extensive expertise in data modeling, both logical and physical; expertise with the Amazon AWS platform would be beneficial.

• Familiarity with implementing Data Governance as a code in a deployment pipeline.

• Expertise in data modeling software such as ERStudio, ERWin or other comparable tool.

• Extensive experience in multidimensional data modeling, such as star schemas, snowflakes, normalized and de-normalized models, handling slow-changing dimensions/attributes.

• Exceptional ability to effectively communicate with technical and Business colleagues and make complex ideas understood.

• Extensive experience providing practical direction on information and analytics platforms in conjunction with EDW tools and technologies.

• Experience working with project management using agile methodologies.

• Experience in Operational Data Store and data integration processes/procedures.

• Experience with Data Warehouse and BI systems; extensive experience collecting Business requirements from customers and transform the requirements into DB data processes and data schema.

• Problem solving uses rigorous logic and methods to solve difficult problems with effective solutions. Probes various sources for answers and leverages existing best practices when can. Will look beyond the obvious and doesnt stop when faced with obstacles.

• Action Oriented Enjoys working hard and is full of energy for things that are seen as challenging. Not fearful of acting without a fully detailed plan.

WE ARE AN EQUAL OPPORTUNITY EMPLOYER. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, gender identity, sexual orientation, national origin, age, genetic information, military or veteran status, marital status, mental or physical disability or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.