Enterprise Data Modeler

To achieve an organization's mission, leaders need strong team members who can process data models, develop best practices and tools for data design, and have expertise in the areas of biomedical data. Whether developing new databases or data models, our clients need a consultant who can help manage data architecture. That is why we need an experienced Enterprise Data Modeler like you who can provide high-quality support.

As part of our team, you'll serve as a strategic te chn ical consultant to the Advanced Research Projects Agency for Health ( ARPA-H ) , helping conceptualize, create, and execute advanced government-funded research and development programs to accelerate better health outcomes for everyone. You'll work with world-class scientists and engineers to support the development of high-impact solutions to society's most challenging health problems. You'll leverage your te chn ical expertise to provide strategic assessments of new te chn ologies in support of senior ARPA-H decision makers. You'll maintain responsibility for producing and presenting findings and recommendations to a team of colleagues and clients on the feasibility and potential impact of future research programs, assisting with the management of current programs, and facilitating commer cia lization of successfully developed te chn ologies.

You'll serve as an Enterprise Data Modeler helping clients to develop solutions, including biomedical data models to help clients achieve their goals. Your attention to detail, flexibility, communication skills, understanding of the client's mission, and problem-solving will enable the mission's success.

What You'll Work On:

Analyze ARPA-H business processes and develop conceptual, logical, and physical data models.

Align data models with science-focused data models and ontologies such as biomedical.

Develop specific data ontologies for specific domains such as genomics or imaging.

Join us. The world can't wait.

You Have:

10+ years of experience with enterprise data modeling, creation of Entity Relationship ( ER ) diagrams, and conceptual, logical, and physical relational and no-SQL data models

Experience working with common biomedical data models such as OMOP and vocabularies such as UMLS or SNOMED-CT

Experience interacting and communicating with senior-level executives, including SES or GS-15

Experience using Micro sof t Office programs, including Excel, Word, and PowerPoint

Ability to operate independently within a fast-paced, start-up environment

Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

Nice If You Have:

Experience with semantic web te chn ologies such as RDF or JSON-LD

Experience with Unified Modeling Language

Experience with U.S. government health organizations

Ability to multi-task and prioritize responsibilities

Ability to manage multiple short- and long-term projects effectively

Ability to pay strict attention to detail and adhere diligently to deadlines and deliverables

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client .

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $84,600.00 to $193,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Job Number: R0209034

Enterprise Data Modeler

The Opportunity:

To achieve an organization's mission, leaders need strong team members who can process data models, develop best practices and tools for data design, and have expertise in the areas of biomedical data. Whether developing new databases or data models, our clients need a consultant who can help manage data architecture. That is why we need an experienced Enterprise Data Modeler like you who can provide high-quality support.

As part of our team, you'll serve as a strategic te chn ical consultant to the Advanced Research Projects Agency for Health ( ARPA-H ) , helping conceptualize, create, and execute advanced government-funded research and development programs to accelerate better health outcomes for everyone. You'll work with world-class scientists and engineers to support the development of high-impact solutions to society's most challenging health problems. You'll leverage your te chn ical expertise to provide strategic assessments of new te chn ologies in support of senior ARPA-H decision makers. You'll maintain responsibility for producing and presenting findings and recommendations to a team of colleagues and clients on the feasibility and potential impact of future research programs, assisting with the management of current programs, and facilitating commer cia lization of successfully developed te chn ologies.

You'll serve as an Enterprise Data Modeler helping clients to develop solutions, including biomedical data models to help clients achieve their goals. Your attention to detail, flexibility, communication skills, understanding of the client's mission, and problem-solving will enable the mission's success.

What You'll Work On:

• Analyze ARPA-H business processes and develop conceptual, logical, and physical data models.

• Align data models with science-focused data models and ontologies such as biomedical.

• Develop specific data ontologies for specific domains such as genomics or imaging.

Join us. The world can't wait.

You Have:

• 10+ years of experience with enterprise data modeling, creation of Entity Relationship ( ER ) diagrams, and conceptual, logical, and physical relational and no-SQL data models

• Experience working with common biomedical data models such as OMOP and vocabularies such as UMLS or SNOMED-CT

• Experience interacting and communicating with senior-level executives, including SES or GS-15

• Experience using Micro sof t Office programs, including Excel, Word, and PowerPoint

• Ability to operate independently within a fast-paced, start-up environment

• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

• Master's degree

Nice If You Have:

• Experience with semantic web te chn ologies such as RDF or JSON-LD

• Experience with Unified Modeling Language

• Experience with U.S. government health organizations

• Ability to multi-task and prioritize responsibilities

• Ability to manage multiple short- and long-term projects effectively

• Ability to pay strict attention to detail and adhere diligently to deadlines and deliverables

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client .

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $84,600.00 to $193,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We're an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change - no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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