Data Architect Sr

Updated: about 1 month ago
Location: Salt Lake City, UTAH
Job Type: FullTime

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Data Architect Sr
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Announcement


Open Date 01/19/2021
Requisition Number PRN25100B
Job Title Data Architect Sr
Working Title Data Architect Sr
Job Grade H
FLSA Code Computer Employee
Patient Sensitive Job Code? No
Standard Hours per Week 40
Full Time or Part Time? Full Time
Shift Day
Work Schedule Summary
VP Area President
Department 00642 - PIVOT Center
Location Campus
City Salt Lake City, UT
Type of Recruitment External Posting
Pay Rate Range 75900 to 148100
Close Date
Open Until Filled Yes
Job Summary

Do you enjoy making a difference? Do you enjoy researching complex scenarios? Do you enjoy challenging the status quo? Would you like to influence and guide data combined with technology decisions and solutions to align to the strategic architecture visions of new commercialization efforts at U of U’s Pivot Center i.e. University of Utah Therapeutics Accelerator Hub (U2TAH)? In this role, you will build consensus with academic and scientific leaders across the expanse of the University’s therapeutic research groups, to help them promote and accelerate their research efforts into products to help humankind.

One aspect of the Principal Data Analyst / Architect’s responsibility is creation and maintenance of catalogs and performing analysis of the many research, clinical and genomic data sources. The Analyst/Architect will be responsible for gathering data from multiple sources and performing complex data analysis. Their work will enable the formation and projection of data into information insight and insight into opportunities to move from the lab to people that can most benefit.

This position reports to the Senior Managing Director of the Therapeutic Accelerator and will work collaboratively with other research and data teams, to understand our data and ensure that the functionality and de-livery is consistent and effective. This position is based in Salt Lake City, Utah.

Responsibilities

• Analyze and catalog the multitudinous databases: EHR systems, genomic, diagnostic, image and other data sources across the various research and patient care areas.
• Build and maintain reports, analyses, models, and visualizations that provide insight into key drivers of the data sources and their potential business outcomes through advanced analytics + statistical techniques
• Identify opportunities for therapeutic transfer through analysis of underlying data
• Build dashboards and reports
• Collaborate with our cross-functional team on improving our tools, methods and techniques
• Contribute to our team and company data culture through peer collaboration, training, coaching and more
• Analyst/Architect will identify and then own projects based on expertise— meaning conception, planning, development, implementation, and delivery— with the support of whatever other data science and cross-team expertise is required.
• Platform Plays – e.g., Cloud-Native Providers – provide guidance for commercialization decisions to either “Adopt” or “Create” platforms and providing guidance during the implementation of these platforms
• Platform Evaluations – participating in vendor platform evaluations to influence the decisions towards the most optimal, mature platform options
• Platform Integration – providing guidance on best ways to integrate platforms
• Platform Hyper-connectivity – providing guidance to ensure hyper-connectivity within the platform ecosystem
• Capability Rationalization – guiding (and in some cases even surfacing) decisions to rationalize capabilities and even entire platforms
• Solution & Journey Architecture – guiding architecture decisions to leverage existing, optimal platform capabilities
• Application Development – identifying and guiding capabilities provided by applications to deliver highest value to patients and clinicians

This job description is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.

This job description is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.

Work Environment and Level of Frequency typically required

Nearly Continuously: Office environment.

Physical Requirements and Level of Frequency that may be required

Nearly Continuously: Sitting, hearing, listening, talking.

Often: Repetitive hand motion (such as typing), walking. 

Seldom: Bending, reaching overhead.

Minimum Qualifications

Requires a bachelor’s degree in area of specialty or equivalency and 6-8 years of experience in the field or in a related area.

Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.

Preferences

• Strategic thinking abilities with an enterprise-wide perspective
• 20+ years of experience architecting enterprise technology solutions
• Ability to partner within and across teams to gain consensus and garner support
• Ability to influence stakeholders
• Ability to drive tasks to completion
• Strong communication skills for creating and sharing presentations to multiple levels of audiences of stakeholders – i.e., senior scientists, university administrators, potential business investors etc.
• Negotiation and mediation skills
• Healthcare experience
• Bachelor’s degree in computer science, mathematics, statistics, economics, engineering or related
• Possess excellent interpersonal communication and problem-solving skills, with the ability to collaborate with senior business leaders and provide strategic recommendations
• Sharp business judgment and the ability to see past the noise
• Ability to detect and debug anomalies in complex data processes
• Curiosity to learn new skills and apply them in novel ways to solve challenging problems
• Professional skill set to excel in an open, highly collaborative environment.
• A track record of outstanding past projects, publications, or presentations.
• Passion for solving problems and driving business impact & eager to learn and apply feed-back constructively
• Experience onboarding platforms
• 4 + years of experience manipulating and analyzing large data sets, monitoring and predicting trends and identifying opportunities through the interpretation of data.
• Python experience for data science problems (scikit learn, pandas, numpy, etc.) including experience with statistical modeling, machine learning, and analyzing large data sets
• Strong visualization and data storytelling skills and creating reports/dashboards
• Experience with complex SQL queries and Stored Procedures

Bonus Points:
• Experience with statistical modeling, machine learning, and analyzing large data sets
• Excellent time management and organizational skills and able to work independently with minimal oversight.

Type Benefited Staff
Special Instructions Summary
Additional Information


The University of Utah is an Affirmative Action/Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, University of Utah policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law.
To inquire about this posting, email: employment@utah.edu or call 801-581-2300. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities. To request an accommodation or for further information about University AA/EO policies, please contact the Office of Equal Opportunity and Affirmative Action, 201 S. Presidents Cr., Rm 135, (801) 581-8365 (V/TDD), email: oeo@umail.utah.edu .

The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.

This position may require the successful completion of a criminal background check and/or drug screen.


Posting Specific Questions

Required fields are indicated with an asterisk (*).

  • * Do you have a related Bachelor's degree or equivalency? (2 years related work experience may be substituted for 1 year of education)
    • Yes
    • No

  • Applicant Documents
    Required Documents
  • Resume
  • Optional Documents
  • Cover Letter
  • Appropriate discharge document (such as a DD-214 – Member Copy 4) – Veteran Only – Call 801.581.2169
  • Addendum to the University of Utah - Veteran Only - Call 801.581.2169 after submission

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