**Remote opportunity in the following locations: VA, MD, TN, NC, FL, SC, TX, WV, GA, AR, KY**
The Enterprise Data Architect is responsible for aligning the future state enterprise information architecture with enterprise strategic goals and objectives. This role collaborates with analytics leadership, partners with analytics engineers, analysts and subject matter experts from cross-functional clinical/business areas to define standardized data models and ensure that the models are optimized to support data driven decision making. This position would oversee the data models built by analytics engineers and analysts dedicated to support various functions of the enterprise.
Essential Job Statements
Establishment and execution of the roadmap and vision for information delivery and management including the enterprise data warehouse, big data, data access, content & data management
Lead the development and management of standardized data models that are efficient and easy to use across the organization.
Provide 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, database design and implementation.
Apply business strategy while driving technology strategy, balancing short term and long term needs to ensure that the architecture can scale and evolve appropriately
Improve Enterprise Information Management performance: Aid efforts to improve business performance through enterprise information solutions and capabilities, such as master data management (MDM), meta data management, analytics, content management, data integration, and related information management or information infrastructure components.
Lead data architects and data engineers to architect and to deliver the solutions that fulfill the Business information needs and align with the information vision and strategy
Secure data and analytic assets: Aid in the analysis of data and analytics security requirements and solutions, and work with the chief information security officer to ensure that enterprise data and analytics assets are treated as protected assets.
Enable effective data and analytics governance: Suggest who can take what actions with what information, and under what circumstances. Assist data and analytics leaders, and business and IT leadership in developing information governance processes and structures.
Engage an end-to-end approach by connecting all the pieces of data to deliver the data while leveraging all available assets in a consistent, cohesive, and scalable manner
Mentor high performing team, motivate, and develop staff to maximize their contributions.
Provide technical oversight and guidance on data architecture decision making.
Ensure responsibility and visible commitment of diversity equity and inclusion programs/initiatives through collaboration and implementation of initiatives across the health
Patient Population
Not applicable to this position.
Employment Qualifications
Required Education:
Master's Degree Computer and Information Science MS or related field from an accredited college or university
Combination of education and experience may be considered in lieu of a degree.
Preferred Education:
Licensure/Certification Required:
Licensure/Certification Preferred:
Minimum Qualifications
Years and Type of Required Experience
A minimum of 7 years Data Warehousing Platforms/tools (Data Models, ETL/ELT solutions)
At least five (5) years Healthcare domain experience
Other Knowledge, Skills and Abilities Required:
Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management (healthcare preferred)
In-depth experience of designing and implementing complex data systems
Extensive experience in dimensional data modeling, such as star schemas, snowflakes, normalized and de-normalized models, handling slow-changing dimensions/attributes (Required proficiency)
Experience with Healthcare data models like EPIC Clarity/Caboodle, OMOP, IBM, Teradata etc., as well custom models. (Required proficiency)
Strong interpersonal skills and ability to work cross-functionally (Required proficiency)
Expertise in data modeling software such as DataVaults or other comparable tool.
Knowledge of version control systems such as Git.
Experience utilizing Agile methodology
Basic knowledge of data integration tools: dbt, Informatica, MS Integration Services etc.
Ability to effectively communicate with technical and non-technical personas and make complex ideas understood.
Knowledge of big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc.
Ability to code with scripting languages such as Python, Bash, groovy etc.,
Demonstrate the ability to work well with others and exhibit leadership and ownership
Have a track record of remaining unbiased toward specific technologies or vendors.
Organizationally savvy, with a good understanding of the enterprise's political climate and how to navigate, influence and persuade political waters.
Ability to understand the long-term ("big picture") and short-term perspectives of situations.
Ability to comprehend quickly the functions and capabilities of new technologies.
Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management
Cultural Responsiveness
Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias.
Other Knowledge, Skills and Abilities Preferred:
Displays intellectual curiosity and integrity.
Working Conditions
Periods of high stress and fluctuating workloads may occur.
May have periods of constant interruptions.
Prolonged periods of working alone.
Physical Requirements
Physical Demands:
Work Position: Sitting
Additional Physical Requirements/ Hazards
Physical Requirements: Manual dexterity (eye/hand coordination), Repetitive arm/hand movements, Finger Dexterity, Color Vision, Acuity – near, Acuity – far
Hazards:
Mental/Sensory – Emotional
Mental / Sensory: Strong Recall, Reasoning, Problem Solving, Hearing, Speak Clearly, Write Legibly, Reading, Logical Thinking
Emotional: Fast pace environment, Able to Handle Multiple Priorities, Frequent and Intense Customer Interactions, Able to Adapt to Frequent Change
Come join our talented Enterprise Analytics Team at VCU Health. Here, you will work with a wide variety of team members across the enterprise to help us design and to implement data lake architecture technology stack, strategies and governance that will determine how we acquire, store, and transmit data both from internal systems and external sources.
EEO Employer/Disabled/Protected Veteran/41 CFR 60-1.4.
