Data Driven Model Driven Jobs Salary Jobs in Usa

The Opportunity

The University of Central Florida (UCF) has established several interdisciplinary faculty research clusters to strengthen its academic offerings and research mission. In support of this effort, we invite candidates for two (2) tenure-earning assistant professor, tenured associate professor, or tenured professor positions with the university research center on Resilient, Intelligent, and Sustainable Energy Systems (RISES). The positions have an anticipated start date of August 8, 2026.

These are interdisciplinary positions that will be expected to strengthen both the RISES Center and a chosen tenure home department and may include a combination of joint appointments. A strong advantage of this position is the ability of the candidate to choose multiple units for their joint appointment in the College of Engineering and Computer Science, the College of Sciences, or both.

All candidates whose research are at the forefronts of energy systems, resilience, and sustainability will be considered. The technical fields of specific research interest for the two positions include but are not limited to:

Position # 1- Sustainable Energy Systems: Non-Combustion (Host Department: Mechanical and Aerospace Engineering):

An ideal candidate will have extensive expertise in pathways for novel processes of electric power generation and storage that do not involve combustion. The selected candidate should be proficient in process design, characterization, and modeling of low carbon electricity generation technologies that ensure access to affordable, reliable, and sustainable power for all. We seek candidates with a strong foundation in fluid mechanics, thermodynamics, heat and mass transfer, and energy systems engineering, and a demonstrated research record in non-combustion-based electric power generation and/or energy storage.

Areas of particular interest include, but are not limited to:

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• Advanced nuclear energy systems, including small modular reactors (SMRs), microreactors, molten salt reactors, liquid metal reactors and high-temperature gas cooled reactors, especially those supporting grid resilience.

  
  

• Hydrogen production and storage, particularly hydrogen derived from nuclear or natural gas with carbon capture (blue hydrogen).

  
  

• Thermal energy storage and high-efficiency heat exchangers for industrial and grid-scale applications.

  
  

• Electrochemical systems, including next-generation batteries and fuel cells for defense, aerospace, and critical infrastructure.

  
  

• Energy generation and storage systems modeling, optimization, and control, with emphasis on reliability, affordability, and national security.

  
  

• Experimental platforms for high-temperature, high-pressure energy systems.

  
  

• Risk-informed design of energy infrastructure.
  

  
  

Candidates should demonstrate the ability to lead an independent, externally funded research program and contribute to interdisciplinary collaborations. A strong record of peer-reviewed publications, mentorship, and engagement with industry, national laboratories, or large-scale research initiatives is highly desirable. Experience with computational tools (e.g., CFD, FEA, system-level modeling) and/or experimental platforms for energy systems is expected.

Position # 2 - Machine Learning and AI for Energy Systems (Host Department: Computer Science and possibly Electrical and Computer Engineering Department):

An ideal candidate would have extensive experience applying modern machine learning techniques to solving complex problems within the energy systems. The candidate should have a strong foundation in deep learning techniques (including convolutional neural networks, recurrent neural networks and multi-head attention models). An experience with specialized foundation models is a plus.

Areas of interest include but are not limited to:

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• Energy market and load/generation forecasting, including short- and long-term demand prediction, renewable generation forecasting (solar, wind, hydro) under uncertainty, spatiotemporal modeling for distributed energy systems, energy markets, transfer learning and domain adaptation for data-scarce regions and integration of weather, mobility, and socioeconomic data for predictive modeling.

  
  

• Distributed infrastructure resource management, including data-driven modeling and coordination of interdependent infrastructure systems and their subsystems (such as networks of transportation, gas, electricity grid), multi-agent reinforcement learning for distributed coordination and demand response optimization using AI.

  
  

• Distributed infrastructure system optimization, such as real-time optimization of interdependent infrastructure and energy systems using AI and advanced control methods, hybrid physics-informed and data-driven modeling and control for stability and flexibility.

  
  

• Energy system resiliency research, including detection of faults and cyber-attacks, outage prediction under extreme conditions, resilient cybersecurity solutions, and self-healing algorithms.
  

  
  

Candidates should demonstrate not only extensive experience in deep learning, reinforcement learning, and unsupervised learning but also evidence in interdisciplinary, human-centric, community-based, and data-driven research on energy systems.

Successful candidates will have research impact as reflected in high-quality publications and the ability to build a well-funded and sustainable research program. We are looking for team players who can further enhance our strong campus-wide efforts in energy systems research. The positions will carry ranks commensurate with the candidate's prior experience and record.

UCF is one of the nation's largest universities with a diverse student body of nearly 70,000 students and has grown substantially in size, quality, diversity, and reputation. Today, the university offers more than 240 degree programs. In 2019, UCF was officially recognized as a Hispanic Serving Institution (HSI) by the U.S. Department of Education and a "Green College" by the Princeton Review for our efforts in sustainability and environmental responsibility. UCF's students represent all 50 states and over 120 countries. UCF is in a centralized location that is 30 minutes to Walt Disney World and Universal Orlando and 60 minutes to the beach. UCF has 16 sports teams, including football, soccer/futbol, tennis, volleyball, and 600+ cultural, academic, and social student clubs and organizations all led by faculty mentors. In addition, UCF has several associations for faculty and staff, among them, the Black Faculty and Staff Association (BFSA), the Latino Faculty and Staff Association (LaFaSA), and the PRIDE Faculty and Staff Association. UCF received the 2019 Higher Education Excellence in Diversity (HEED) Award from INSIGHT Into Diversity magazine, which recognizes U.S. colleges and universities that demonstrate an outstanding commitment to diversity and inclusion.

The Carnegie Foundation has classified UCF as an R1 Doctoral University for its high research activity and community engagement. This past fiscal year, UCF brought in nearly $205M. The RISES center is one of nation's very top university research centers as measured by federal funding. For the fifth consecutive year, UCF has been recognized among the nation's most innovative universities according to U.S. News & World Report while Kiplinger's and The Princeton Review have ranked UCF as one of the nation's best values for a college education.

UCF is an economic engine, attracting and supporting industries vital to the region's future while providing students with real-world experiences that help them succeed after graduation. UCF's Orlando location also puts it at the center of the Florida High Tech Corridor. The corridor has an excellent industrial base that includes software, defense, space, simulation and training, and a world-renowned entertainment industry. Adjacent to UCF is a thriving research park that conducts over $2 billion in funded research, hosting more than 100 high-technology companies and UCF's School of Modeling, Simulation, and Training. UCF also has an accredited medical school which was established in 2006 and is a neighbor to the VA, Nemours, and the UCF Lake Nona Medical Center, all of which have a strong interest in sustainable energy systems research and demonstration. Great weather, easy access to the seashore, one of the largest convention centers in the nation, and one of the world's best airports are just a few features that make Orlando an ideal location. We encourage you to learn more about UCF at faculty.

Minimum Qualifications:

• A Ph.D. or foreign degree equivalent from an accredited institution, in an area appropriate to the RISES center at the time of appointment. The selected candidate must also have a record of high impact research related to energy systems, demonstrated by a strong scholarly and/or funding record.

• In order to obtain tenure upon hire, the selected candidate must have a demonstrated record of teaching, research and service commensurate with rank in the tenure department.

Preferred Qualifications:

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• Past work experiences in a national lab and/or industry are desired.

  
  

• A history of working with teams, especially teams that span multiple disciplines, is a strongly preferred qualification.

  
  

• Prior work experience with energy storage systems is highly preferred.

  
  

Additional Application Materials Required:

UCF requires all applications and supporting documents be submitted electronically through the Human Resources employment opportunities website, jobs/. In addition to the online application, interested candidates should upload the following:

• A curriculum vitae.

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  A letter of interest describing qualifications for the position, such as research agenda and teaching experience/interest. In the letter candidates must include:

  
  
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  • their background in research and scholarship in or related to the areas noted in the job description above.

    
    

  • specifically highlight their interdisciplinary approach to research.

    
    

  • specify which position they are applying to and which department they plan to reside.

    
    
  
  

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• A teaching statement.

  
  

• A research statement.

  
  

NOTE: Please have all documents ready when applying so they can be attached at that time. Once the online submission process is finalized, the system does not allow applicants to submit additional documents later.

The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations) documenting the conferral of their qualifying academic credentials.

Questions regarding this search should be directed toDr. Zhihua Qu at .

Special Instructions to the Applicants:

Candidates needto specify in their cover letters which position they are applying to and which department they plan to reside.

Sponsorship for employment-based visas will only be considered under exceptional circumstances and is not guaranteed. Preference will be given to candidates who are currently authorized to work for any employer in the United States.

Job Close Date:

Open until filled

Note to applicants: Please keep in mind that a job posted as 'Open until filled' may close at any time without notice. As such, we encourage you to submit your application and all required documentation as quickly as possible to ensure consideration for the posted position.

Are you ready to unleash YOUR potential?

As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country. You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck.

Working at UCF has its perks!UCF offers:

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• Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program.
  
• Paid time off, including annual (12-month faculty) and sick time off and paid holidays.
  
• Retirement savings options.
  
• Employee discounts, including tickets to many Orlando attractions.
  
• Education assistance.
  
• Flexible work environment.
  
• And more...For more benefits information, view the UCF Employee Benefits Guide click here.
  

Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins.

Additional Requirements related to Research Positions:

Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela.

The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates.

Department

Work Schedule

Type of Appointment

Expected Salary

As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request.

UCF is proud to be a smoke-free campus and an E-Verify employer.

If an accommodation due to a disability is needed to apply for this position, please call or email .

For general application or posting questions, please email .

Overview
Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

The Office of Institutional Research and Planning (IRP) at Georgia Tech is a research and analytics service unit dedicated to supporting the campus community. Our team of institutional research and data analytics professionals combines technical and creative skills to inform institutional strategic decision-making, planning, and research across campus. In addition to institutional reporting and compliance, IRP provides data education, support, and resources to all campus units.

Visit our website to learn more about what we do:

Data Analysts analyze data, interpret trends and patterns, and provide insights to support decision-making processes. They develop data models, perform data mining and statistical analysis, and collaborate with stakeholders to optimize data-driven strategies.

Job Duty 1 -
Collect, analyze, and interpret data from various sources, databases, and systems to extract insights, trends, and patterns that inform business decisions, strategies, and operations.

Job Duty 2 -
Develop and maintain data models, queries, and reports using SQL, Python, R, or data analysis tools to perform data cleansing, transformation, and visualization tasks.

Job Duty 3 -
Identify data quality issues, anomalies, and discrepancies in datasets, conduct data validation, data profiling, and data integrity checks to ensure data accuracy and reliability.

Job Duty 4 -
Create data visualizations, dashboards, and data analytics reports to communicate data findings, trends, and key metrics to stakeholders, management, and decision-makers.

Job Duty 5 -
Conduct ad-hoc data analysis, exploratory data analysis, and statistical analysis to support decision-making processes, performance monitoring, and data-driven insights.

Job Duty 6 -
Perform data mining, predictive analytics, and machine learning tasks to uncover hidden patterns, predict outcomes, and drive data-driven decision-making in organizations.

Job Duty 7 -
Utilize data analytics tools, business intelligence platforms, and statistical software packages to conduct data analysis, data modeling, and data visualization tasks efficiently and accurately.

Job Duty 8 -
Stay current on data analytics trends, tools, and methodologies through training, certifications, and industry publications to enhance data analysis skills and knowledge.

Job Duty 9 -
Collaborate with business users, data scientists, and Information Technology teams to define data requirements, analytics requirements, and data-driven solutions for business problems and opportunities.

Job Duty 10 -
Perform other job-related duties as assigned.

The Institutional Research Data Analyst will also be expected to perform various duties specific to institutional research, including but not limited to:

• Responding to intermediate to high difficulty/complexity ad-hoc data and analysis requests
• Adhering to federal, state, and institutional policies, regulations, and requirements related to data security, privacy, and governance

• Completing or supporting the completion of externally-driven compliance and data-related reporting including

  • Federal, e.g., IPEDS, NSF-HERD, NSF-GSS, etc.
  • State, e.g., USG data collections, data requests, etc.
  • Higher education organizations, e.g., AAUDE, SREB, NSC, accrediting bodies, etc.

Educational Requirements
Bachelor's Degree in related discipline or equivalent combination of education and experience. Advanced certification may be preferred or required (some profiles may require additional education).

Required Experience
Four or more years of relevant experience.

Annual Salary Range: $75,751 to $80,000

SKILLS
o Performs all the standard and technical aspects of the job
o Applies in-depth professional, technical, or industry knowledge to manage significantly complex
assignments/projects/programs
o Advanced knowledge of principles and practices of a particular field of specialization and Institute
policies, practices, and procedures

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

About the Company

Our client is a well-established global insurance and financial services organization known for its strong reputation, financial stability, and long-term commitment to innovation. The company is investing heavily in modern technology and data platforms to transform how insurance products are delivered to professionals and small businesses.

Within this organization, a rapidly growing digital product team is focused on simplifying insurance through modern technology, data-driven decision making, and scalable cloud infrastructure. The team operates in a collaborative, fast-paced environment and places a strong emphasis on engineering excellence, ownership, and continuous improvement.

About the Role

Our client is seeking a Senior Data Engineer to join their Platform Engineering team in Boston. This role will play a key part in designing, building, and scaling a modern cloud-native data platform used to support analytics, business intelligence, and data-driven decision making across the organization.

This individual will work closely with engineering leaders, data teams, and business stakeholders to develop scalable data integration pipelines and build the foundation for enterprise analytics. The role is highly hands-on and ideal for someone who enjoys building data platforms, working with cloud technologies, and enabling self-service analytics.

The team operates in an Agile environment and values collaboration, ownership, and continuous improvement.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL Server
• Build configuration-driven ingestion processes to support batch and near real-time data pipelines
• Integrate and transform data from multiple sources including APIs, JSON, CSV, XLS, and other structured and semi-structured formats
• Design and document data models, data flows, and data dictionaries to support enterprise analytics
• Implement Lakehouse architecture using Medallion data modeling patterns
• Develop datasets and reporting pipelines supporting Power BI and enterprise analytics
• Maintain the health, security, and scalability of the Azure-based data platform
• Implement best practices for data governance, metadata management, lineage, and access control
• Build and maintain CI/CD pipelines for data infrastructure using tools such as GitHub Actions or CircleCI
• Implement monitoring, alerting, and observability for data pipelines and platform performance
• Optimize data pipelines for performance, scalability, and cost efficiency
• Work cross-functionally with engineering, product, and business teams to define and deliver data products
• Participate in Agile ceremonies including sprint planning, backlog refinement, and delivery cycles
• Mentor junior engineers and contribute to the ongoing development of the data engineering team
• Stay current on emerging technologies and best practices in data engineering

Qualifications

• 7+ years of professional experience in data engineering or data platform development
• Strong experience working in Azure environments, particularly: Azure Data Factory, Databricks, SQL Server / T-SQL
• Experience building scalable ETL / ELT data pipelines
• Experience integrating data from multiple sources including APIs, JSON, XML, CSV, and other formats
• Strong understanding of data warehousing, dimensional modeling, and Lakehouse architecture
• Experience with Power BI, SSRS, or other reporting platforms
• Hands-on experience with CI/CD pipelines and DataOps practices
• Familiarity with data governance, data quality, metadata management, and MDM
• Experience working in Agile development environments
• Strong communication and collaboration skills with the ability to work across technical and business teams
• Experience mentoring or guiding other engineers is a plus

• Lead, mentor, and develop a team of data scientists, fostering a collaborative and high-performing environment
• Oversee the full data science lifecycle, including problem definition, data exploration, model development, validation, and production deployment
• Design and guide the development of machine learning and statistical models that drive business value
• Translate complex business requirements into scalable, data-driven solutions
• Partner closely with Product, Engineering, and business stakeholders to align on priorities and deliver impactful outcomes
• Establish and promote best practices in data science, machine learning, and model lifecycle management
• Communicate technical concepts and insights effectively to non-technical audiences
• Contribute to strategic planning and roadmap development for data and AI initiatives

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
• 8+ years of experience in data science, analytics, or machine learning development
• 5+ years of experience managing or leading data science or analytics teams
• Strong hands-on experience building and deploying production-grade machine learning models
• Experience working within Agile or modern software development environments
• Deep understanding of machine learning methodologies, statistical modeling, and data architecture
• Proven ability to collaborate cross-functionally and influence stakeholders

• Experience working with healthcare data or healthcare technology platforms
• Experience building or scaling a data science or AI team
• Advanced degree (Master's or PhD) in a related field
• Experience driving AI/ML initiatives that support decision-making or recommendation systems

• This is a remote position (US-based candidates only)

Overview

We are seeking a seasoned Analytics leader to build and lead our enterprise Analytics and Data Governance function in a modern group purchasing / procurement environment. This leader will turn our rich ecosystem of member, supplier, contract, and transaction data into a strategic asset that drives savings, compliance, growth, and differentiated insight for our members and suppliers.

This leader will also own the data governance operating model, enterprise metrics, and analytics roadmap that power member-facing insights, internal performance management, and AI use cases across the technology platform (Website, B2B eCommerce, supplier portal, sourcing tools, and partner integrations).

Key responsibilities

Data governance and policy

• Define and run the enterprise data governance framework covering member, supplier, contract, item, and transaction data domains.
• Establish data ownership and stewardship across functions (Category Management, Supplier Management, Finance, Sales, Marketing, Digital) driving clear accountabilities for data quality and definitions.
• Implement policies for responsible use of data in supplier programs, member reporting, and AI/ML models, ensuring compliance with contractual, regulatory, and privacy requirements.
• Drive data quality management (profiling, remediation, SLAs) for critical assets such as contract price files, item catalogs, rebate/accrual data, and member hierarchies.
• Oversee metadata, business glossary, and data lineage so teams can confidently understand "one source of truth" for core GPO metrics (e.g., committed vs. actual spend, penetration, compliance, savings delivered).

Analytics strategy and delivery

• Define the enterprise analytics vision and roadmap aligned to procurement value levers: spend visibility, category performance, contract compliance, leakage detection, rebate optimization, and supplier performance.
• Lead the design and delivery of standardized KPI suites and dashboards for executives, category teams, supplier partners, and member account teams (e.g., savings scorecards, compliance heatmaps, portfolio optimization).
• Partner with Product and Engineering to ensure the data platform (warehouse, semantic layer, BI tools) can support self-service analytics, embedded insights in member/supplier portals, and AI-driven use cases.
• Champion enterprise metrics and advanced analytics capabilities such as, forecasting, benchmarking, opportunity sizing, and integrity analytics, ensuring models are traceable, governed, and auditable.
• Translate business needs into clear data products (curated data sets, subject-area marts, APIs) that serve both internal teams and external-facing solutions.

Stakeholder leadership and collaboration

• Serve as the enterprise "single point of accountability" for data and analytics, aligning priorities across Technology, Category Management, Supplier Relations, Sales, Finance, and Operations.
• Partner with Supplier and Member-facing teams to co-create analytics offerings that differentiate the GPO (e.g., supplier growth playbooks, member CFO dashboards, public-sector transparency packs).
• Educate executives and business leaders on data literacy, standard metrics, and how to use insights in planning, negotiations, and supplier programs.
• Collaborate closely with Security, Legal, and Compliance to ensure that member and supplier data is used ethically and in line with contracts and regulations.

Team building and operations

• Build and lead a high-performing team of data analysts, analytics engineers, data governance managers, and data stewards.
• Define operating rhythms (data council, data domain forums, metric review cadences) that keep governance and analytics tightly connected to business outcomes.
• Establish and track KPIs for the data function itself (data quality scores, adoption of governed datasets, BI usage, time-to-insight).
• Select and manage key tools and vendors in the analytics and governance ecosystem (warehouse, BI, catalog/governance, quality monitoring).

Qualifications

• Bachelor's or Master's degree in Data/Computer Science, Information Systems, Analytics, Statistics, Business, or related field.
• 10+ years of experience in analytics, data governance, or enterprise data management, including 3–5+ years leading teams.
• Proven experience in a procurement, supply chain, GPO, distribution, or B2B marketplace environment strongly preferred.
• Demonstrated success implementing data governance frameworks and delivering analytics that directly influenced commercial or procurement outcomes (e.g., savings, compliance, supplier growth).
• Hands-on familiarity with modern data platforms (e.g., Snowflake/BigQuery/Redshift, dbt, Power BI/Tableau/Looker, and one or more data catalog/governance tools).
• Strong grasp of regulatory / contractual considerations relevant to member and supplier data (data sharing agreements, use of benchmarking, privacy/security standards).
• Excellent leadership, storytelling, and stakeholder management skills; able to influence at C-suite and board levels.

Attributes for success

• Business-first mindset: instinctively ties data work to member value, supplier value, and financial impact.
• Pragmatic operator: balances governance rigor with speed, enabling innovation rather than blocking it.
• Skilled translator: can convert complex data and AI topics into clear narratives for executives, sales, and category leaders.
• Culture builder: passionate about creating a data-driven culture that values standard definitions, trusted data, and measurable outcomes.

Compensation:

$150,000 to $200,000 per year annual salary.

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role include: Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.

Purpose

As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.

This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.

You’ll Be Successful With

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
• 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
• Proven track record of moving models from development into production which deliver measurable impact to the business.
• Expert proficiency in Python and SQL. Comfortable with version control.
• Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
• Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
• Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
• You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
• The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
• Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
• Strong intellectual curiosity with a bias toward action and continuous improvement.
• Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.

Your Day Consists Of

• Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
• Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
• Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
• Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
• Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
• Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
• Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
• Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
• Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
• Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
• Be compliant with all appropriate privacy and security protocols.

Working Conditions (travel, hours, environment)

• Limited travel required including air and car travel
• While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.

Physical/Sensory Requirements

Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.

Benefits & Rewards

• Bonus opportunities at every level
• Non-traditional retail hours (we close at 7p!)
• Career advancement opportunities
• Relocation opportunities across the country
• 401k with discretionary company match
• Employee Stock Purchase Plan
• Referral Bonus Program
• 80 hrs. annualized paid vacation (full-time associates)
• 4 paid holidays per year (full-time hourly store associates only)
• 1 paid personal holiday of associate’s choice and Volunteer Time Off program
• Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)

Equal Employment Opportunity

Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.

This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

OZ – Databricks Architect/ Senior Data Engineer

Note: Only applications from U.S. citizens or lawful permanent residents (Green Card Holders) will be considered.

We believe work should be innately rewarding and a team-building venture. Working with our teammates and clients should be an enjoyable journey where we can learn, grow as professionals, and achieve amazing results. Our core values revolve around this philosophy. We are relentlessly committed to helping our clients achieve their business goals, leapfrog the competition, and become leaders in their industry. What drives us forward is the culture of creativity combined with a disciplined approach, passion for learning & innovation, and a ‘can-do’ attitude!

What We're Looking For:

We are seeking a highly experienced Databricks professional with deep expertise in data engineering, distributed computing, and cloud-based data platforms. The ideal candidate is both an architect and a hands-on engineer who can design scalable data solutions while actively contributing to development, optimization, and deployment.

This role requires strong technical leadership, a deep understanding of modern data architectures, and the ability to implement best practices in DataOps, performance optimization, and data governance.

Experience with modern AI/GenAI-enabled data platforms and real-time data processing environments is highly desirable.

Position Overview:

The Databricks Senior Data Engineer will play a critical role in designing, implementing, and optimizing enterprise-scale data platforms using the Databricks Lakehouse architecture. This role combines architecture leadership with hands-on engineering, focusing on building scalable, secure, and high-performance data pipelines and platforms. The ideal candidate will establish coding standards, define data architecture frameworks such as the Medallion Architecture, and guide the end-to-end development lifecycle of modern data solutions.

This individual will collaborate with cross-functional stakeholders, including data engineers, BI developers, analysts, and business leaders, to deliver robust data platforms that enable advanced analytics, reporting, and AI-driven decision-making.

Key Responsibilities:

• Architecture & Design: Architect and design scalable, reliable data platforms and complex ETL/ELT and streaming workflows for the Databricks Lakehouse Platform (Delta Lake, Spark).
• Hands-On Development: Write, test, and optimize code in Python, PySpark, and SQL for data ingestion, transformation, and processing.
• DataOps & Automation: Implement CI/CD, monitoring, and automation (e.g., with Azure DevOps, DBX) for data pipelines.
• Stakeholder Collaboration: Work with BI developers, analysts, and business users to define requirements and deliver data-driven solutions.
• Performance Optimization: Tune delta tables, Spark jobs, and SQL queries for maximum efficiency and scalability.
• GenAI Applications Development: It is a big plus to have experience in GenAI application development

Requirements:

• 8+ years of experience in data engineering, with strong hands-on expertise in Databricks and Apache Spark.
• Proven experience designing and implementing scalable ETL/ELT pipelines in cloud environments.
• Strong programming skills in Python and SQL; experience with PySpark required.
• Hands-on experience with Databricks Lakehouse, Delta Lake, and distributed data processing.
• Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP (Azure preferred).
• Experience with CI/CD pipelines, Git, and DevOps practices for data engineering.
• Strong understanding of data architecture, data modeling, and performance optimization.
• Experience working with cross-functional teams to deliver enterprise data solutions.
• Tackles complex data challenges, ensuring data quality and reliable delivery.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Experience designing enterprise-scale data platforms and modern data architectures.
• Experience with data integration tools such as Azure Data Factory or similar platforms.
• Familiarity with cloud data warehouses such as Databricks, Snowflake, or Azure Fabric.
• Experience supporting analytics, reporting, or AI/ML workloads is highly desirable.
• Databricks, Azure, or cloud certifications are preferred.
• Strong problem-solving, communication, and technical leadership skills.

Technical Proficiency in:

• Databricks, Apache Spark, PySpark, Delta Lake
• Python, SQL, Scala (preferred)
• Cloud platforms: Azure (preferred), AWS, or GCP
• Azure Data Factory, Kafka, and modern data integration tools
• Data warehousing: Databricks, Snowflake, or Azure Fabric
• DevOps tools: Git, Azure DevOps, CI/CD pipelines
• Data architecture, ETL/ELT design, and performance optimization

What You’re Looking For:

Join a fast-growing organization that thrives on innovation and collaboration. You’ll work alongside talented, motivated colleagues in a global environment, helping clients solve their most critical business challenges. At OZ, your contributions matter – you’ll have the chance to be a key player in our growth and success. If you’re driven, bold, and eager to push boundaries, we invite you to join a company where you can truly make a difference.

About Us:

OZ is a 28-year-old global technology consulting, services, and solutions leader specializing in creating business-focused solutions for our clients by leveraging disruptive digital technologies and innovation.

OZ is committed to creating a continuum between work and life by allowing people to work remotely. We offer competitive compensation and a comprehensive benefits package. You’ll enjoy our work style within an incredible culture. We’ll give you the tools you need to succeed so you can grow and develop with us and become part of a team that lives by its core values.

About Us

Perform Properties is a Blackstone Real Estate portfolio company focused on high-performing retail and office properties with People-Appeal - vibrant spaces where people actively choose to work, shop, and gather. With expertise in transactions, development, leasing, and management, the company oversees over 33 million square feet of retail and office properties across the U.S. Learn more: .

Role Summary

Our VP, Data & Analytics unlocks data-driven growth at the speed of natural language through AI-enabled execution across Perform Properties. An innovative architect with deep business literacy, the VP, Data & Analytics will lead our efforts to put data at the center of our Technology capabilities with a modern, performant and AI-ready data & analytics platform. This critical capability will serve a wide range of business functions, enabling Investments, Portfolio, Operations and Finance people to put AI, BI, Analytics and other emerging technologies to work for them every day – not just talk about the potential & possibilities.

This role reports to the Chief Technology Officer and is based in the office, 5 days a week.

Essential Job Functions

• Drive Data Architecture & Engineering excellence that actively reduces our Coordination Tax
• Build Data Modelling & Analytics capabilities to reduce our Time-to-Productivity
• Champion Artificial and Business Intelligence (AI / BI) capabilities through compelling next generation interactions (Visualization, Natural Language & Agentic) that reduce our Time-to-Insight
• Cultivate Data governance & stakeholder engagement that creates real shared ownership of our platform
• Model the successful use of AI as a capabilities & resource extension, not just a gimmick
• Develop individuals & teams of technologists in the Data & Analytics space as their leader

Qualifications and Technical Competencies

• 10+ years leading Data Science, Data Engineering, Analytics and/or AI / ML-focused teams
• 5-7 years managing agile projects (Scrum, Kanban, SAFe)
• 3-5 years managing people (direct reports, manager of managers)
• Demonstrable success working with modern data platforms (Databricks, Snowflake, BigQuery, RedShift, Synapse)
• Demonstrable success delivering AI / ML initiatives (Natural Language Processing, Predictive Modeling, Statistical Modeling)
• Advanced proficiency in common data engineering tools (R, Python, DBT, SQL, Azure Data Factory)
• Advanced proficiency in common visualization tools (Tableau, PowerBI)
• Bachelor’s Degree in Computer Science, Mathematics or relevant tertiary education

Benefits & Compensation

Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).

Base Salary Range: $225,00-$265,000. This represents the presently-anticipated low and high end of the Company’s base salary range for this position. Actual base salary range may vary based on various factors, including but not limited to location and experience.

The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.

Closing

EEO Statement

Our company is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our employment decisions are based on individual qualifications, job requirements and business needs without regard to race, color, marital status, sex, sexual orientation, gender identity and/or expression, age, religion, disability, citizenship status, national origin, pregnancy, veteran status and or any other legally protected characteristics. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email

#LI-Onsite

Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes.

• Workplace locations look different for everyone. Excellians are a distributed workforce and whether you're working from your home office or a client site, we support a flexible work/life integration regardless of your location.
• We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you.
• Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a membership with 3 back-up emergency child or elder care days annually – all available to you on your first day.
• Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays.
• Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use!
• With Excella’s Annual Internet Reimbursement benefit, all employees receive an additional $25 per month to help offset the cost of internet access. This initiative reflects our commitment to supporting you in staying connected and productive, no matter where you work.
• We'll invest in your career by providing 3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications.
• We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans.

Overview

We are looking for a Data Analyst to join our team and deliver valuable customer experiences. Our analysts are team-oriented, collaborative, and focus on delivering value in everything we do. We use agile methods to analyze, define and document business requirements for software solutions which align with organizational goals and help our clients achieve their desired outcomes. We support our clients in their digital product needs – from vision to roadmap to execution.

Responsibilities

• Develop thorough understanding of the business context and objectives by, among other things, eliciting and analyzing requirements from all relevant stakeholders (business users, data engineers, data scientists, and similar).
• Able to operationalize business questions using data.
• Demonstrate understanding of relational databases, data architecture, and data modeling.
• Capable of building complex SQL statements to answer business questions.
• Experience designing conceptual data models/ entity relationship diagrams/ business process models.
• Able to transform and cleanse data using tools such as R, SQL, or Python.
• Able to interpret, understand, and explain data to clients.
• Basic knowledge of dashboard management and creation (drag and drop) for storytelling of regular information reports and ad-hoc requests.
• Build trust and respect, establish relationships, and develop rapport with technical and non-technical team members.
• Experience documenting Data Analysis processes and outcomes.
• Industry or subject matter expertise (e.g., finance, employment, hospitality, web analytics).

Qualifications

• B.A. or B.S. (focus in Computer Information Systems, Business Management, Engineering, or related area of study is a plus)
• Ability to obtain and maintain a Top Secret (TS) clearance and a Public Trust clearance is required.
• 3+ years’ experience in IT or related industry
• Prior consulting or client management experience preferred
• Intermediate/Advanced SQL skills
• Experience working with Data Visualization tools such as Tableau or Power BI
• Preferred experience with cloud analytics products such as Google Cloud, AWS, or Microsoft Azure
• Preferred knowledge of statistics and experience using statistical packages for analyzing datasets
• Strong analytical aptitude and ability to structure complex or undefined business problems
• Strong verbal and written communication skills; able to report and present findings to varying stakeholders
• Hands-on experience using tools to help clients make data-driven decisions
• Knowledge and practice of core Agile values and principles a plus
• Initiative to learn new strategies and trends to continue to educate self analytically, technically, and technologically
• Intermediate experience with Microsoft Excel and Power Point
• Understanding of DevOps Research and Assessment (DORA) and the capabilities within the DORA capability catalog is encouraged

Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Excella is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact or 7