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associate applied data scientist

associate data analyst

data science lead

The Home Depot

<div>Position Purpose:
The Data Science Sr. Manager - GenBI is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
Key Responsibilities:<ul><li>
50% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments</li><li>
15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs</li><li>
25% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management</li><li>
10% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to Director or above</li><li>
This position has Direct Reports and manages programs</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Proficient managing and growing team members in a professional setting</li><li>
Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting</li><li>
Demonstrated experience with translating high level strategy to tactical execution</li></ul> 
Preferred Qualifications:<ul><li>
11+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Demonstrated expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
10</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div>

Data Science Senior Manager - Generative BI

<div>Position Purpose:
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics. 
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. 
Key Responsibilities:<ul><li>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Strong background in Business Intelligence (BI) and semantic layers.</li><li>
Experience building, deploying, or working with AI agents and multi-agent architectures.</li><li>
Hands-on experience with Databricks is a strong plus.</li><li>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
4+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated experience in predictive modeling, data mining and data analysis</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Data Scientist - GenBI

<div>Position Purpose:
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this strategic initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics. 
The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
Key Responsibilities:<ul><li>
40% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments</li><li>
25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts</li><li>
15% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management</li><li>
20% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Senior Manager or above</li><li>
This position has Direct Reports &amp; manages programs</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Strong background in Business Intelligence (BI), enterprise data strategy, and semantic layers.</li><li>
Experience building, deploying, or working with AI agents and multi-agent architectures.</li><li>
Hands-on experience with Databricks is a strong plus.</li><li>
9+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Experience managing and growing team members in a professional setting</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
8</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div>

Data Science Manager - GenBI

Emory University

<div>Discover Your Career at Emory University:
<div>
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.</div>
Description:
<div>
About Winship Cancer Institute of Emory University</div><div></div><div> 
Dedicated to discovering cures for cancer and inspiring hope, Winship Cancer Institute of Emory University is Georgia&rsquo;s only National Cancer Institute-designated Comprehensive Cancer Center, a prestigious distinction given to the top tier of cancer centers nationwide for making breakthroughs against cancer. Winship is researching, developing, teaching, and providing novel and highly effective ways to prevent, detect, diagnose, treat, and survive cancer. Cancer care at Winship includes leading cancer specialists collaborating across disciplines to tailor treatment plans to each patient&rsquo;s needs and type of cancer; innovative therapies and clinical trials; comprehensive patient and family support services; and a personalized care experience aimed at easing the burden of cancer. Winship is Where Science Becomes Hope&reg;. For more information, visit winshipcancer.emory.edu.</div><div></div><div> 
Winship is seeking qualified candidates for the Clinical Research Data Coordinator II position. Position details are as follows:</div><div></div><div> 
The Data Coordinator II, supports the research program within the Clinical Trials Office (CTO) of Winship Cancer Institute (WCI) at Emory University. Responsible for facilitating initial visit with study subject. Designs, builds, and maintains the functional operations of the database, ensuring accuracy and appropriate usage by all internal customers. Increases the functionality of the database to meet the needs of internal customers and members of the department. Manages complex projects related to data acquisition and tracking that are not related to a database. Analyzes subject data in relation to study protocol for entrance into study. Ensures data from source is entered in EDC per Sponsor contract expectations if not sooner. Facilitates study monitoring visits and prompt resolution of all study related queries.</div><div></div><div> 
KEY RESPONSIBILITIES:
</div><ul><li>Primary Data Coordinator (DC) for complex interventional therapeutic clinical trials, including multi-center trials and WCI held Investigator Initiated Trials (IITs) in complex areas such as hematologic cancers, Bone Marrow Transplant (BMT), Phase I trials, etc.</li><li>
Independently responsible for all aspects of clinical data management including creation and collection of source documents, completion of case report forms, and tracking and reporting of serious adverse events.
</li><li>Reviews and analyzes information from medical records (clinic notes, pathology reports, radiology reports, patient questionnaires, etc.) to extract data for all assigned research protocols including but not limited to industry, cooperative group, and investigator-initiated studies.
</li><li>Accurately captures and enters data into clinical trial databases as necessary, and within timelines set by study sponsors or CTO. Collects and maintains complete records and metrics on each research study participant. Consolidates clinical data and reports for investigators as needed.
</li><li>Assists in the review and evaluation of potential research studies and communicates effectively with CTO management and leadership regarding feasibility of proposed projects.
</li><li>Attends study team meetings and provides updates to study team members regarding protocol data management activities, including data entry timelines, database locks, unique study requirements, and query management. Also provides support, ongoing education and updates to study team members, physicians, nurses, and other healthcare professionals regarding data-related protocol activities.
</li><li>Supports Data Team Supervisor in onboarding, training, and quality assurance of DC I position, as directed by DT Supervisor or Clinical Research Operations Manager (CROM).
</li><li>Serves as a resource to provide support and guidance to less experienced DCs and other study team members.
</li><li>Attends protocol related training meetings and completes all required study training.
</li><li>Liaises with sponsors and the in-house monitoring team, schedules monitoring visits, and addresses monitoring report findings.
</li><li>Leads the DC effort in preparing for and participating in quality control audits to verify the accuracy, completeness, and confidentiality of research data. Reports and addresses findings as appropriate.
</li><li>Serves as the lead DC in preparing for internal and external audits (e.g., sponsor, regulatory agencies), addressing identified data deficiencies, and developing corrective action plans post audit.
</li><li>Establishes and maintains procedures and systems (i.e., computerized database) for research coordination and data management. Provides support to Winship&Acirc;&iquest;s Informatics team as they develop and improve research information systems.
</li><li>Assures ongoing compliance with all departmental, institutional, and federal requirements and regulations and department policies. Maintains controls to assure accuracy, completeness, and confidentiality of research data.
</li><li>Maintains confidentiality standards for all potential and enrolled patients; complies with federal Health Insurance Portability and Accountability Act (HIPAA) regulations.
</li><li>Performs other duties as assigned.
</li></ul><div>MINIMUM QUALIFICATIONS:
</div><ul><li>Bachelor Degree and at least two (2) years of clinical research data management experience OR High School Diploma or GED and at least six (6) years of clinical research data management experience OR an equivalent combination of education and experience.
</li></ul><div>PREFERRED QUALIFICATIONS:
</div><ul><li>Certification/license: ACRP/SoCRA (or equivalent) certification preferred within three (3) years of hire.</li></ul>
Additional Details:
<div>
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).</div><div></div><div> 
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.</div></div>

Clinical Research Data Coordinator II- Winship Cancer Institute

NTT DATA

Req ID: 363915
 
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
We are currently seeking a BPMN Consultant to join our team in Atlanta, Georgia (US-GA), United States (US).
 
Key Responsibilities: 
Design, develop, and maintain business workflows (processes and cases) using Flowable, adhering to standards such as BPMN, CMMN, and DMN.
 
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
 
Implement and integrate REST APIs to the Flowable Work.
 
Develop and maintain applications using Java and Spring Boot.
 
Ensure that Flowable application with customized Spring Security is secure and thoroughly tested.
 
Ensure the performance, quality, and responsiveness of applications.
 
Utilize build and test tools such as Jenkins, Maven/Gradle, JUnit, and Mockito.
 
Troubleshoot and resolve technical issues.
 
Participate in code reviews and contribute to the continuous improvement of development processes.
 
Qualifications: 
Minimum of 1 year of experience working with BPMN, preferably Flowable or Camunda.
 
Minimum of 5 years of experience with Java, Spring Framework, REST Webservices and Web Development.
 
Knowledge of Process Modeling and related standards like BPMN, CMMN and DMN.
 
Strong proficiency in Java and Spring Boot.
 
Possess a solid understanding of Spring Security and oAuth2.
 
Experience with designing and implementing RESTful APIs.
 
Familiarity with front-end technologies (e.g., HTML, CSS, JavaScript) is a plus.
 
Excellent problem-solving skills and attention to detail.
 
Strong communication skills and ability to work collaboratively in a team environment.
 
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
 
Understanding of Flowable Architecture is preferred.
 
Preferred Skills: 
Knowledge of microservices architecture.
 
Experience with Agile/Scrum methodologies.
 
About NTT DATA
 
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
 
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

BPMN Consultant

AECOM

<div>Company Description 
Work with Us. Change the World.
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world&rsquo;s most complex challenges and build legacies for future generations.
There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.
We're one global team driven by our common purpose to deliver a better world. Join us. 
Job Description 
AECOM is seeking a seasoned Cyber-Physical System (CPS) Security &amp; Resiliency growth leader to establish and grow our Cyber-Physical System Security &amp; Resiliency team. This role builds the firm&rsquo;s capability to help clients strengthen and modernize cyber-physical environments through integrated security, risk, and resilience strategies.
While governance and risk may intersect with information technology (IT), this role is not IT-centric. The focus is on the safety, security, and resilience of cyber-physical systems across CPS/OT environments (e.g., industrial control systems (ICS), supervisory control and data acquisition (SCADA), OT) and digitally enabled CPS/IT systems.
Role Primary Objectives:<ul><li>
Establish the CPS Security &amp; Resilience Team as a source of top and bottom-line growth within the Energy Practice.
</li><li>Strengthen client confidence and executive trust in AECOM&rsquo;s ability to manage modern infrastructure risk.</li><li>
Establish a repeatable, scalable CPS capability that integrates with existing AECOM services.</li><li>
Position AECOM as a trusted consultant on the convergence of infrastructure, automation, AI, and physical consequence.</li><li>
Establish governance, risk, and resilience models for the integration of AI and advanced analytics into CPS/OT and CPS/IT environments, with explicit focus on physical consequence, system safety, and operational continuity.</li></ul>
Responsibilities:
Cyber-Physical Systems (CPS) Security &amp; Resilience Strategic Growth and Market Engagement<ul><li>
Establish the CPS Security &amp; Resilience practice for the Power sector</li><li>
Develop and execute go-to-market, recruitment, and top- and bottom-line growth strategies for the CPS Security &amp; Resiliency workstream</li><li>
Support strategic pursuits and key accounts from the cyber-physical resiliency lens, where CPS risk influences project outcomes or client confidence.</li><li>
Engage client executives, boards, and regulators on system-level risk, resilience, and governance.</li><li>
Act as a strategic partner to leadership on infrastructure resilience, reliability, and operational risk</li><li>
Advise clients on cyber-physical risk and resiliency implications of AI-enabled grid modernization, automation, DER integration, advanced protection schemes, and digitally enabled control environments</li><li>
Oversee and guide the development of reusable tools, templates, frameworks, and best practices for CPS Security &amp; Resiliency</li></ul>
Advisory &amp; Enterprise Alignment<ul><li>
Partner closely with Advisory leadership to align CPS services with broader operational, digital, and risk advisory offerings</li><li>
Coordinate with existing IT, OT, and cyber resources across AECOM to avoid duplication and fragmentation</li></ul>
Client Engagement, Delivery, and Practice Growth<ul><li>
Work closely with senior leadership to shape AECOM&rsquo;s CPS Security &amp; Resilience offerings and expand market presence</li><li>
Lead project workstreams while teaching and mentoring junior staff</li><li>
Support capture and proposal activities, including developing scopes of work, methodologies, and strategic content</li><li>
Build and maintain strong client relationships to identify new opportunities and ensure successful delivery</li><li>
Serve as a bridge between technical specialists and executive-level client discussions</li></ul>
Cyber-Physical Systems (CPS) Security &amp; Resilience Practice Elements:<ul><li>
Lead OT engagements related to cyber-physical systems</li><li>
Lead client engagements addressing AI-enabled CPS risk, resilience, and governance across CPS/OT and CPS/IT environments, including model risk, autonomy, decision authority, and failure propagation into physical systems</li><li>
Lead cybersecurity assessments, vulnerability analyses, and program reviews to help clients identify risks and prioritize improvements</li><li>
Conduct maturity assessments, risk evaluations, gap analyses, and policy reviews to help clients define long-term CPS/OT and CPS/IT strategies</li><li>
Develop OT governance models, operational frameworks, and investment plans that guide clients through modernization and lifecycle planning</li><li>
Facilitate workshops, interviews, and stakeholder meetings to gather requirements and translate them into strategic recommendations</li><li>
Embed CPS risk considerations into pursuits, delivery models, and client engagements</li><li>
Develop OT and ICS cybersecurity programs aligned with frameworks such as NIST CSF, NERC CIP, and IEC 62443</li><li>
Prepare guidance for OT security controls, monitoring approaches, segmentation strategies, governance, and compliance</li></ul>
CPS Security &amp; Resilience Leadership<ul><li>
Provide industry leadership and guidance on CPS/OT and CPS/IT security &amp; resiliency, promoting alignment with enterprise risk management, regulatory expectations, and delivery realities</li><li>
Advise clients on CPS architecture concepts, technology options, integration considerations, and migration strategies</li><li>
Oversee and guide master planning for CPS, including AI-enabled CPS, grid modernization, SCADA and EMS/DMS evolution, advanced automation, digital substations, and next-generation OT and CPS/IT architectures</li><li>
Evaluate operational risks and recommend solutions that improve resiliency, reliability, and worker safety in CPS/OT environments</li></ul> 

Qualifications 
Minimum Requirements<ul><li>
BS degree in Engineering, Computer Science, Information Systems, Cybersecurity, or a related field and 10 years of related experience</li><li>
Minimum of 10 years of business leadership experience in cyber-physical systems, OT/ICS, infrastructure security, or resilience.</li><li>
Minimum of 10 years of experience delivering advisory services (strategy, governance, road mapping, program development, compliance) into cyber-physical system OT, ICS, and SCADA environments.</li><li>
Minimum years of OT or ICS experience in consulting, engineering, or cyber-physical environments.</li><li>
Proven track record of growth, building, and scaling capabilities inside large engineering (AEC), EPC, or infrastructure organizations.</li><li>
Proven ability to translate risk into executive-level decision frameworks and business outcomes.</li><li>
Experience working across matrixed organizations with multiple business lines and stakeholders.</li><li>
Advanced knowledge of relevant CPS, OT, and cyber risk frameworks and regulatory constructs applicable to cyber-physical systems within critical infrastructure environments.</li><li>
Strong communication skills with experience developing client-facing reports, strategies, roadmaps, and presentations.</li><li>
Deep understanding of Power sector systems and the operational realities of infrastructure delivery.</li></ul>
Preferred Qualifications<ul><li>
Master of Business Administration (MBA) preferred</li><li>
15 years of OT or ICS experience in consulting, engineering, or cyber-physical environments.</li><li>
Cyber-physical training or certifications are preferred, e.g. &ndash;<ul><li>
C|CISO, GICSP, CISSP</li><li>
Consequence-focused training for Physical &amp; Digital Infrastructure, e.g. Consequence-Driven, Cyber-Informed Engineering (CCE ACCELERATE)</li><li>
AI-governance and/or AI-risk related training</li></ul></li><li>
15 years of P&amp;L ownership experience</li><li>
Previous experience developing CPS service offerings</li><li>
Previous experience developing and managing CPS-related managed services</li><li>
Industry voices and distinction preferred, e.g. &ndash;<ul><li>
Previously published in industry journals.</li><li>
Previous conference speaking engagements.</li><li>
Participated in various media such as TV, radio, podcasts, and webinars.</li></ul></li></ul> 

Additional Information 
This position does not offer sponsorship now or in the future.
This position does not offer relocation assistance.<div></div>
About AECOM
AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&amp;D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.
AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients&rsquo; complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle &ndash; from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.
What makes AECOM a great place to work
You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you&rsquo;ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you&rsquo;ve always envisioned. Here, you&rsquo;ll find a welcoming workplace built on respect, collaboration and community&mdash;where you have the freedom to grow in a world of opportunity.
As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.</div>

AVP, Team Lead, Cyber-Physical Systems (CPS) Security & Resiliency (Power Sector)

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow&mdash;people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
Job Description:
UPS US Marketing is looking for a talented and driven Business Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced data analysis where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders.
Responsibilities:<ul><li>
Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and statistical methods</li><li>
Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools.</li><li>
Understand and apply appropriate methods for cleaning and transforming data</li><li>
Work across multiple stake holders to develop, maintain and improve models in production</li><li>
Take the initiative to create and execute analyses in a proactive manner</li><li>
Deliver complex analytical and visualizations to broader audiences including upper management and executives</li><li>
Understand the application of advanced analytics to solve complex business problems</li></ul>
Qualifications<ul><li>
MS in a quantitative discipline and 2+ years of relevant work experience or Ph.D in a STEM field</li><li>
Proficiency in Python and SQL</li><li>
Experience in applied statistics and analytics utilizing programming languages (Ex: Python or R)</li><li>
Proficient in cloud computing using Azure and Google cloud environments</li><li>
Proficient in data concepts and transformation methods</li><li>
Effective presentation skills utilizing PowerPoint and visualization methods to explain complex concepts</li><li>
Experience in reporting and analytics using dashboards (PowerBI, Tableau, Looker, etc.)</li></ul>
Bonus Qualifications<ul><li>
Experience with pricing methodologies and revenue management</li><li>
Experience using PySpark, Azure Databricks, Google Bigquery and Vertex AI</li><li>
Creating and implementing AI and GenAI based projects</li><li>
Familiarity with Data architecture and engineering</li></ul>
Employer will not sponsor a visa for this position. Must be currently in the same geographic location as the job or willing to relocate yourself.
Job Grade- 20G
Last day to apply internally- 4/22/26 @ 11:59am EST
Employee Type:
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Other Criteria:
UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.
Basic Qualifications:
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.</div>

Business Data Scientist

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