data science project manager

Tyndale Company

<div><div>Tyndale is scaling its AI and Data Science capabilities to improve safety, customer experience, and operational efficiency across our Flame-Resistant clothing business. We are hiring a Project Manager, AI &amp; Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI, Scribe, and similar tools.</div><div></div><div> 
You will manage end to end delivery for Data Science projects on AWS and for enterprise SaaS AI rollouts, driving both technical execution and business adoption. On the platform side, you will work across AWS services to support building Machine Learning and Generative AI products. On the SaaS side, you will lead pilots and rollouts, change management, training, and measurement of adoption and business value.</div><div></div><div> 
HYBRID/REMOTE: Tyndale supports a strong work-life balance. This opportunity requires onsite work a minimum of 1 day per week, and 4 days per week remotely. To be considered, candidates must reside within a commutable distance from our corporate headquarters in Pipersville, PA (Bucks County) or our location in Houston, TX (City Centre).</div><div> 
</div><div>About Tyndale
</div><div>The Tyndale Company is a private, 9x Top Workplace winner in PA and 5x winner in TX, and an industry leading national supplier of arc-rated flame-resistant clothing (FRC) to the energy sector &ndash; including utilities, oil and gas, transportation, chemical manufacturing, and NFPA 70E markets. We&rsquo;re a family-owned business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We&rsquo;re the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.</div> 
<ul><li>
Serve as Scrum Master for Data Science teams: facilitate sprint planning, daily standups, reviews, and retros; coach team members on Agile practices and remove impediments.</li><li>
Manage a backlog for Data Science and AI platform work in Jira.</li><li>
Coordinate with Data Scientists, Data Engineers, and ML Engineers building Machine Learning models and Generative AI products.</li><li>
Act as Project Manager for SaaS AI tools (for example ChatGPT, Slack AI, Scribe): manage pilots, enterprise rollout plans, communications, training, and change management to drive adoption and safe use.</li><li>
Own project scope, schedule, and budget tracking for assigned initiatives, including dependency management, change control, and stakeholder communication.</li><li>
Maintain an active risk and issue log; drive mitigations and escalations that protect delivery commitments and compliance requirements.</li><li>
Define and track success metrics such as sprint velocity, on time delivery, escaped defects, model reproducibility, data quality SLAs, SaaS AI adoption rates, and stakeholder satisfaction.</li><li>
Support vendor management activities for SaaS AI and AWS partners, including SOWs, renewals, and contract performance.</li><li>
Ensure high quality documentation for requirements, test plans, runbooks, model cards, governance artifacts, and change decisions.</li><li>
Support training, UAT, and enablement to help business teams adopt AI driven workflows and tools.</li></ul> 
<ul><li>
Minimum of 5 years of professional project management experience in technology, analytics, or data driven environments.</li><li>
Bachelor's Degree required.</li><li>
PMP certification required.</li><li>
Proven experience delivering Data Science or machine learning projects, including coordination of data ingestion, feature engineering, and model deployment.</li><li>
Experience managing SaaS AI product implementations such as ChatGPT Enterprise, Slack AI, Scribe, Veo 3, or similar tools, with a clear focus on change management and user adoption.</li><li>
Proficiency with Agile delivery tools (Jira / Confluence).</li><li>
Excellent written and verbal communication skills, with a track record of concise, executive ready reporting.</li></ul><div></div><div> 
Preferred qualifications</div><ul><li>
Scrum Master certification (CSM, PSM, or equivalent) strongly preferred.</li><li>
Familiarity with statistics, analytics, and Data Science concepts.</li><li>
Experience defining and maintaining KPI dashboards for AI and data initiatives.</li></ul><div> 
</div><div>Benefits</div><ul><li>
Health &amp; Wellness: Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave. Mental health support through an EAP and partial reimbursement on copays, fertility support, and robust wellness programs with annual reimbursements.</li><li>
Work-Life Balance: Many positions with Tyndale offer hybrid onsite + remote work schedules, generous PTO, paid holidays + a floating holiday, and more.</li><li>
Financial Compensation: Competitive salary, 401(k) with matching, and bonus opportunities.</li><li>
Career Growth &amp; Development: Training/certification/tuition reimbursement programs and demonstrated paths for knowledge share and internal promotion opportunity.</li><li>
Culture &amp; Perks: Family-owned values, award winning culture, team-engagement events, casual dress code, company-sponsored charitable events and activities, and an inclusive workplace that values collaboration and integrity.</li></ul><div></div><div> 
Qualified candidates are encouraged to apply on our website, www.tyndaleusa.com/careers.</div><div>
E.O.E</div><div></div><div> 
#LI-SP1 #LI-Hybrid</div></div>

Project Manager, AI and Data Science

Flex Employee Services

Role 1: AI &amp; Data Project Manager (AI Comms and Assist)Job Summary:The AI &amp; Data Project Manager (Contractor) is responsible for leading and coordinating enterprise AI, data, and advanced analytics initiatives across the health system. This role manages the delivery of strategic data and artificial intelligence projects including analytics platforms, machine learning implementations, data governance initiatives, and enterprise dataproducts.The position partners closely with clinical, operational, financial, and technology leaders to ensure AI and data initiatives are delivered on schedule, within scope, and aligned with organizational strategy and governance standards.The AI &amp; Data Project Manager oversees the full project lifecycle from planning through implementation, ensuring strong stakeholder engagement, risk mitigation, and adoption of enterprise data capabilities.Duties and Responsibilities:<ul><li>Leads planning and execution of AI, data, and analytics initiatives including data platforms, AI model deployment, and enterprise analytics solutions.</li><li>Coordinates the full lifecycle of AI and data projects from initiation through closure using the Project Management Framework.</li><li>Defines project scope, deliverables, success criteria, timelines, and budgets.</li><li>Manages cross‑functional teams including data engineers, data scientists, analysts, and operational leaders.</li><li>Tracks project milestones and ensures delivery of AI and analytics capabilities on schedule.</li><li>Identifies risks and develops mitigation strategies related to data quality, integration, governance, and adoption.</li><li>Coordinates integration across enterprise systems including Epic, Oracle, Strata, Power BI, and other platforms.</li><li>Supports enterprise data governance initiatives including stewardship and data quality programs.</li><li>Oversees delivery of AI and analytics product releases including dashboards and predictive models.</li><li>Collaborates with stakeholders to gather requirements supporting clinical, operational, financial, and strategic analytics initiatives.</li><li>Maintains project documentation including charters, roadmaps, plans, and post‑implementation reviews.</li><li>Tracks portfolio metrics for AI and data initiatives.</li><li>Supports organizational change management to drive adoption of AI and analytics capabilities.</li><li>Performs other duties as assigned.</li></ul>Education:Minimum Education Level: Bachelor&rsquo;s DegreeArea of Study: Information Systems, Data Science, Healthcare Administration, Business Administration, Computer Science, or related field.Alternate Qualifications: Bachelor&rsquo;s degree; or Associate degree and 2 years relevant professional experience in addition to the minimum experience requirement; or HS Diploma/GED and 4 years relevant professional experience in addition to the minimum experience requirement.Years of ExperienceMinimum Years of Experience: 8 years of relevant professional experiencePreferred Experience:<ul><li>Managing complex IT, data, analytics, or AI initiatives</li><li>Healthcare data and analytics environments</li><li>Enterprise analytics platforms such as Power BI or Tableau</li><li>Cross-functional enterprise project leadership</li></ul>Certification Preferred Certifications:<ul><li>PMP (Project Management Professional)</li><li>Agile or Scrum Certification</li><li>Certified Analytics Professional (CAP)</li><li>AI or Data Management related certifications</li></ul>LicensureNone required.Knowledge, Skills, and Abilities:<ul><li>Strong project management skills managing complex technology and data initiative</li><li>Understanding of enterprise data architecture, analytics platforms, and AI solutions</li><li>Ability to coordinate cross-functional teams across technical and clinical domains</li><li>Knowledge of data governance and data quality practices</li><li>Strong stakeholder management and communication skills</li><li>Ability to translate business needs into actionable project plans</li><li>Strong analytical and problem-solving capabilities</li><li>Familiarity with healthcare performance analytics preferred</li></ul>Physical Demands:<ul><li>Sitting: Frequent (34&ndash;66% of day)</li><li>Standing: Occasional (0&ndash;33% of day)</li><li>Walking: Occasional (0&ndash;33% of day)</li><li>Keyboard/Repetitive motion: Frequent (34&ndash;66% of day)</li><li>Lifting: Under 10 lbs. occasionally</li></ul>Occupational Exposure Risk:<ul><li>Blood Borne Pathogens: Not Anticipated</li><li>Chemical Exposure: Not Anticipated</li><li>Airborne Communicable Diseases: Not Anticipated</li><li>Radiation: Not Anticipated</li><li>Extreme Noise Levels: Not Anticipated</li></ul>Role 2: AI &amp; Data Project Manager (Data Governance) Job Summary:The AI &amp; Data Project Manager (Contractor) is responsible for leading and coordinating enterprise AI, data, and advanced analytics initiatives across the health system. This role manages the delivery of strategic data and artificial intelligence projects including analytics platforms, machine learning implementations, data governance initiatives, and enterprise data products. The position partners closely with clinical, operational, financial, and technology leaders to ensure AI and data initiatives are delivered on schedule, within scope, and aligned with organizational strategy and governance standards. The AI &amp; Data Project Manager oversees the full project lifecycle from planning through implementation, ensuring strong stakeholder engagement, risk mitigation, and adoption of enterprise data capabilities.Duties and Responsibilities:<ul><li>Leads planning and execution of AI, data, and analytics initiatives including data platforms, AI model deployment, and enterprise analytics solutions.</li><li>Coordinates the full lifecycle of AI and data projects from initiation through closure using the Project Management Framework.</li><li>Defines project scope, deliverables, success criteria, timelines, and budgets.</li><li>Manages cross-functional teams including data engineers, data scientists, analysts, and operational leaders.</li><li>Tracks project milestones and ensures delivery of AI and analytics capabilities on schedule.</li><li>Identifies risks and develops mitigation strategies related to data quality, integration, governance, and adoption.</li><li>Coordinates integration across enterprise systems including Epic, Oracle, Strata, Power BI, and other platforms.</li><li>Supports enterprise data governance initiatives including stewardship and data quality programs.</li><li>Oversees delivery of AI and analytics product releases including dashboards and predictive models.</li><li>Collaborates with stakeholders to gather requirements supporting clinical, operational, financial, and strategic analytics initiatives.</li><li>Maintains project documentation including charters, roadmaps, plans, and post-implementation reviews.</li><li>Tracks portfolio metrics for AI and data initiatives. Supports organizational change management to drive adoption of AI and analytics capabilities.</li><li>Performs other duties as assigned.</li></ul>Education:Minimum Education Level: Bachelor&rsquo;s DegreeArea of Study: Information Systems, Data Science, Healthcare Administration, Business Administration, Computer Science, or related field.Alternate Qualifications: Bachelor&rsquo;s degree; or Associate degree and 2 years relevant professional experience in addition to the minimum experience requirement; or HS Diploma/GED and 4 years relevant professional experience in addition to the minimum experience requirement.Years of ExperienceMinimum Years of Experience: 8 years of relevant professional experiencePreferred Experience:<ul><li>Managing complex IT, data, analytics, or AI initiatives</li><li>Healthcare data and analytics environments</li><li>Enterprise analytics platforms such as Power BI or Tableau</li><li>Cross-functional enterprise project leadership</li></ul>Certification Preferred Certifications:<ul><li>PMP (Project Management Professional)</li><li>Agile or Scrum Certification</li><li>Certified Analytics Professional (CAP)</li><li>AI or Data Management related certifications</li></ul>LicensureNone required.Knowledge, Skills, and Abilities:<ul><li>Strong project management skills managing complex technology and data initiative</li><li>Understanding of enterprise data architecture, analytics platforms, and AI solutions</li><li>Ability to coordinate cross-functional teams across technical and clinical domains</li><li>Knowledge of data governance and data quality practices</li><li>Strong stakeholder management and communication skills</li><li>Ability to translate business needs into actionable project plans</li><li>Strong analytical and problem-solving capabilities</li><li>Familiarity with healthcare performance analytics preferred</li></ul>Physical Demands:<ul><li>Sitting: Frequent (34&ndash;66% of day)</li><li>Standing: Occasional (0&ndash;33% of day)</li><li>Walking: Occasional (0&ndash;33% of day)</li><li>Keyboard/Repetitive motion: Frequent (34&ndash;66% of day)</li><li>Lifting: Under 10 lbs occasionally</li></ul>Occupational Exposure Risk:<ul><li>Blood Borne Pathogens: Not Anticipated</li><li>Chemical Exposure: Not Anticipated</li><li>Airborne Communicable Diseases: Not Anticipated</li><li>Radiation: Not Anticipated</li><li>Extreme Noise Levels: Not Anticipated</li></ul>Disclaimer: This job description provides the major duties/responsibilities, requirements, and working conditions for the position. It is intended to be an accurate reflection of the current role. Management reserves the right to revise or change the job description as necessary to meet organizational needs. Contractors may be required to perform other job-related duties when circumstances require such as emergencies, workload changes, technology changes, or organizational priorities.Pay: $60.00 - $75.00 per hourBenefits:<ul><li>Dental insurance</li><li>Health insurance</li><li>Referral program</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Are you comfortable working on W2?</li><li>Are you legally authorized to work in the United States: US Citizen/Green Card Holder?</li><li>How many years of work experience do you have with AI Project Management?</li><li>How many years of work experience do you have with AI tools?</li><li>How many years of work experience do you have with EHR tools?</li><li>How many years of work experience do you have with Agile Project Management?</li><li>How many years of work experience do you have with Data Governance?</li><li>How many years of Hospitals and Health Care experience do you currently have?</li><li>How many years of work experience do you have with data analytics?</li></ul>Work Location: Remote

AI & Data Project Manager

The Home Depot

<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

<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:
Supply Chain Economics owns the logic and data products that bridge supply chain operations with finance. This suite of datasets, analytics and models are key for financial processes, operational initiatives, merchant allocations and more. The team aims to continue to modernize its data products and provide insights into the costs and operational levers of The Home Depot's supply chain. 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>
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 - Decision Analytics, Supply Chain Economics

<div>Position Purpose:
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.
This role is based on‑site and requires full‑time, five‑day‑a‑week presence in the office. 
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>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
4+ years of experience in business intelligence, advanced analytics, and/or AI/ML fields.</li><li>
Experience designing, building, and maintaining scalable data pipelines to support ingestion, processing, and transformation from multiple sources (e.g., databases, APIs, streaming).</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Proficient in Data querying (SQL/BQ) and visualization (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 traditional NLP is a plus.</li><li>
Familiarity or hands-on experience in designing, developing, and deploying autonomous AI agents or multi-agent systems using modern LLM orchestration frameworks.</li><li>
Experience with Retrieval-Augmented Generation (RAG) architectures, prompt engineering, and enabling LLMs with tool/function calling capabilities to interact with external APIs and databases.</li><li>
Understanding of evaluating, testing, and monitoring generative AI models and agents in production environments to ensure reliability, safety, and performance.</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 - Pro

<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

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