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manager of business development

The Home Depot

<div>Position Purpose:
The Product Manager (PM) position is responsible for delivering business value to drive sales, improve efficiency, and improve customer satisfaction through the production of quality products. Within their designated enterprise product line, PMs focus on delivering incremental value by driving product changes and working closely with a team of developers, designers, and business partners. They support in-depth business reviews, communicate and present across all levels of the organization, and support cross-functional product teams. 
Key Responsibilities:<ul><li>
40% Strategy &amp; Planning:</li><li>
Gains a thorough understanding of customer and associate needs, both existing and potential, and uses that knowledge to help deliver enterprise products that provide Home Depot customers and associates with an unparalleled shopping experience</li><li>
Translates business goals and end user needs into product strategy; communicates direction and product priorities to the development team, other matrixed teams, and third-party partners</li><li>
Identifies goals, metrics, and analytics to determine product value; continually making recommendations and refinements to the product backlog based on learnings</li><li>
Conduct end user research to help identify user stories and help determine Minimum Viable Product (MVP)</li><li>
Partners with Finance to understand financial needs and assists in the creation of business plans for new opportunities</li><li>
Monitors research as well as the competitive landscape to recommend the best solutions and ensure that products remain or become best in class</li><li>
Evaluates research and market analysis on industry innovations and technology platforms to recommend the best possible solution</li><li>
30% Delivery &amp; Execution:</li><li>
Ensure product is aligned with company, stakeholder and end-user priorities to drive sales, improve efficiency, and improve customer satisfaction</li><li>
Documents, reviews and ensures that all quality and change control standards are met</li><li>
Formulates, tests and refines assumptions and hypotheses through user research and testing</li><li>
Creates, prioritizes and accepts user stories; incorporate them into release planning</li><li>
Makes product decisions that drive value on a daily basis</li><li>
Identifies pros, cons, issues, obstacles, dependencies and value associated with features and enhancements</li><li>
Participates in standups, iteration planning sessions, product demos and retrospectives</li><li>
Condenses complex technical concepts into non-technical language for stakeholders</li><li>
30% People:</li><li>
Fosters collaboration with team members (Engineering, User Experience Designers, etc.) to drive value and collectively identify and resolve impediments</li><li>
Acts as a proponent of modern software development practices</li><li>
Advocates for the end user and stakeholder by empathizing with and understanding user needs and becoming the domain expert</li><li>
Regularly works with the product team to continuously assess progress, disseminate lessons learned, and understand next steps</li><li>
Manages cross functional team and stakeholder expectations to execute on product strategy; provides education to requestors to determine prioritization based on tangible benefits and/or user experience</li><li>
Exhibit active listening, facilitate sessions, and clearly communicate at all levels (Executive Leadership Team, store associates, etc.) and in all formats the product's long term strategy which is used to prioritize short-term action</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Typically reports to the Product Management Manager or Sr. Manager.</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>
1-3 years of relevant work experience</li><li>
Experience working as a Product Manager in a modern software development based enterprise environment</li><li>
Demonstrated experience with modern software development product management practices and agile methodologies, specifically the extreme programming (XP) principles of paired programming, test driven development, and continuous deployment</li><li>
Experience working in a fast paced, fluid environment where priorities shift on a regular basis</li><li>
Experience communicating with and influencing functional and technical team members at all levels in the organization</li><li>
Experience working as part of a collaborative, cross-functional, modern software design and development team</li><li>
Experience creating, prioritizing and accepting user stories</li><li>
Experience conducting user research and testing to understand needs</li><li>
Experience identifying goals, metrics and analytics to measure product value</li><li>
Experience conducting competitive research and analysis</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
1</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>
Business Insight: Applying knowledge of 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>
Cultivates Innovation: Creating new and better ways for the organization to be successful</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieves results, even under tough circumstances</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process and people-related organizational dynamics</li><li>
Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations</li><li>
Empathy: Understands the needs of multiple stakeholders and is responsive in meeting their needs with the most optimal resolution</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li></ul></div>

PRODUCT MANAGER

<div>
 Req169398
 
 
 
 Position Purpose
 
 
 
 The Product Manager (PM) position is responsible for delivering business value to drive sales, improve efficiency, and improve customer satisfaction through the production of quality products. Within their designated enterprise product line, PMs focus on delivering incremental value by driving product changes and working closely with a team of developers, designers, and business partners. They support in-depth business reviews, communicate and present across all levels of the organization, and support cross-functional product teams.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 40% Strategy &amp; Planning:
 </li>
 <li>
 Gains a thorough understanding of customer and associate needs, both existing and potential, and uses that knowledge to help deliver enterprise products that provide Home Depot customers and associates with an unparalleled shopping experience
 </li>
 <li>
 Translates business goals and end user needs into product strategy; communicates direction and product priorities to the development team, other matrixed teams, and third-party partners
 </li>
 <li>
 Identifies goals, metrics, and analytics to determine product value; continually making recommendations and refinements to the product backlog based on learnings
 </li>
 <li>
 Conduct end user research to help identify user stories and help determine Minimum Viable Product (MVP)
 </li>
 <li>
 Partners with Finance to understand financial needs and assists in the creation of business plans for new opportunities
 </li>
 <li>
 Monitors research as well as the competitive landscape to recommend the best solutions and ensure that products remain or become best in class
 </li>
 <li>
 Evaluates research and market analysis on industry innovations and technology platforms to recommend the best possible solution
 </li>
 <li>
 30% Delivery &amp; Execution:
 </li>
 <li>
 Ensure product is aligned with company, stakeholder and end-user priorities to drive sales, improve efficiency, and improve customer satisfaction
 </li>
 <li>
 Documents, reviews and ensures that all quality and change control standards are met
 </li>
 <li>
 Formulates, tests and refines assumptions and hypotheses through user research and testing
 </li>
 <li>
 Creates, prioritizes and accepts user stories; incorporate them into release planning
 </li>
 <li>
 Makes product decisions that drive value on a daily basis
 </li>
 <li>
 Identifies pros, cons, issues, obstacles, dependencies and value associated with features and enhancements
 </li>
 <li>
 Participates in standups, iteration planning sessions, product demos and retrospectives
 </li>
 <li>
 Condenses complex technical concepts into non-technical language for stakeholders
 </li>
 <li>
 30% People:
 </li>
 <li>
 Fosters collaboration with team members (Engineering, User Experience Designers, etc.) to drive value and collectively identify and resolve impediments
 </li>
 <li>
 Acts as a proponent of modern software development practices
 </li>
 <li>
 Advocates for the end user and stakeholder by empathizing with and understanding user needs and becoming the domain expert
 </li>
 <li>
 Regularly works with the product team to continuously assess progress, disseminate lessons learned, and understand next steps
 </li>
 <li>
 Manages cross functional team and stakeholder expectations to execute on product strategy; provides education to requestors to determine prioritization based on tangible benefits and/or user experience
 </li>
 <li>
 Exhibit active listening, facilitate sessions, and clearly communicate at all levels (Executive Leadership Team, store associates, etc.) and in all formats the product's long term strategy which is used to prioritize short-term action
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 Typically reports to the Product Management Manager or Sr. Manager.
 
 
 </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>
 1-3 years of relevant work experience
 </li>
 <li>
 Experience working as a Product Manager in a modern software development based enterprise environment
 </li>
 <li>
 Demonstrated experience with modern software development product management practices and agile methodologies, specifically the extreme programming (XP) principles of paired programming, test driven development, and continuous deployment
 </li>
 <li>
 Experience working in a fast paced, fluid environment where priorities shift on a regular basis
 </li>
 <li>
 Experience communicating with and influencing functional and technical team members at all levels in the organization
 </li>
 <li>
 Experience working as part of a collaborative, cross-functional, modern software design and development team
 </li>
 <li>
 Experience creating, prioritizing and accepting user stories
 </li>
 <li>
 Experience conducting user research and testing to understand needs
 </li>
 <li>
 Experience identifying goals, metrics and analytics to measure product value
 </li>
 <li>
 Experience conducting competitive research and analysis
 
 
 </li>
 </ul>
 
 Minimum Education
 
 
 
 <ul>
 <li>
 The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 <ul>
 <li>
 No additional education
 
 
 </li>
 </ul>
 
 Minimum Years Of Work Experience
 
 
 
 <ul>
 <li>
 1
 
 
 </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>
 Business Insight: Applying knowledge of 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>
 Cultivates Innovation: Creating new and better ways for the organization to be successful
 </li>
 <li>
 Customer Focus: Building strong customer relationships and delivering customer-centric solutions
 </li>
 <li>
 Drives Results: Consistently achieves results, even under tough circumstances
 </li>
 <li>
 Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
 </li>
 <li>
 Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear
 </li>
 <li>
 Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
 </li>
 <li>
 Organizational Savvy: Maneuvering comfortably through complex policy, process and people-related organizational dynamics
 </li>
 <li>
 Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations
 </li>
 <li>
 Empathy: Understands the needs of multiple stakeholders and is responsive in meeting their needs with the most optimal resolution
 </li>
 <li>
 Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
 </li>
 </ul>
</div>

<div>Position Purpose:
The Product Manager (PM) position is responsible for delivering business value to drive sales, improve efficiency, and improve customer satisfaction through the production of quality products. Within their designated enterprise product line, PMs focus on delivering incremental value by driving product changes and working closely with a team of developers, designers, and business partners. They support in-depth business reviews, communicate and present across all levels of the organization, and support cross-functional product teams. 
Key Responsibilities:<ul><li>
40% Strategy &amp; Planning:</li><li>
Gains a thorough understanding of customer and associate needs, both existing and potential, and uses that knowledge to help deliver enterprise products that provide Home Depot customers and associates with an unparalleled shopping experience</li><li>
Translates business goals and end user needs into product strategy; communicates direction and product priorities to the development team, other matrixed teams, and third-party partners</li><li>
Identifies goals, metrics, and analytics to determine product value; continually making recommendations and refinements to the product backlog based on learnings</li><li>
Conduct end user research to help identify user stories and help determine Minimum Viable Product (MVP)</li><li>
Partners with Finance to understand financial needs and assists in the creation of business plans for new opportunities</li><li>
Monitors research as well as the competitive landscape to recommend the best solutions and ensure that products remain or become best in class</li><li>
Evaluates research and market analysis on industry innovations and technology platforms to recommend the best possible solution</li><li>
30% Delivery &amp; Execution:</li><li>
Ensure product is aligned with company, stakeholder and end-user priorities to drive sales, improve efficiency, and improve customer satisfaction</li><li>
Documents, reviews and ensures that all quality and change control standards are met</li><li>
Formulates, tests and refines assumptions and hypotheses through user research and testing</li><li>
Creates, prioritizes and accepts user stories; incorporate them into release planning</li><li>
Makes product decisions that drive value on a daily basis</li><li>
Identifies pros, cons, issues, obstacles, dependencies and value associated with features and enhancements</li><li>
Participates in standups, iteration planning sessions, product demos and retrospectives</li><li>
Condenses complex technical concepts into non-technical language for stakeholders</li><li>
30% People:</li><li>
Fosters collaboration with team members (Engineering, User Experience Designers, etc.) to drive value and collectively identify and resolve impediments</li><li>
Acts as a proponent of modern software development practices</li><li>
Advocates for the end user and stakeholder by empathizing with and understanding user needs and becoming the domain expert</li><li>
Regularly works with the product team to continuously assess progress, disseminate lessons learned, and understand next steps</li><li>
Manages cross functional team and stakeholder expectations to execute on product strategy; provides education to requestors to determine prioritization based on tangible benefits and/or user experience</li><li>
Exhibit active listening, facilitate sessions, and clearly communicate at all levels (Executive Leadership Team, store associates, etc.) and in all formats the product's long term strategy which is used to prioritize short-term action</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Typically reports to the Product Management Manager or Sr. Manager.</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>
1-3 years of relevant work experience</li><li>
Demonstrated experience with modern software development product management practices and agile methodologies, specifically the extreme programming (XP) principles of paired programming, test driven development, and continuous deployment</li><li>
Experience working in a fast paced, fluid environment where priorities shift on a regular basis</li><li>
Experience communicating with and influencing functional and technical team members at all levels in the organization</li><li>
Experience working as part of a collaborative, cross-functional, modern software design and development team</li><li>
Experience creating, prioritizing and accepting user stories</li><li>
Experience conducting user research and testing to understand needs</li><li>
Experience identifying goals, metrics and analytics to measure product value</li><li>
Experience conducting competitive research and analysis</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
1</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>
Business Insight: Applying knowledge of 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>
Cultivates Innovation: Creating new and better ways for the organization to be successful</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieves results, even under tough circumstances</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process and people-related organizational dynamics</li><li>
Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations</li><li>
Empathy: Understands the needs of multiple stakeholders and is responsive in meeting their needs with the most optimal resolution</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li></ul></div>

Product Manager

<div>Position Purpose:<div>
The Lead Data Analyst will serve as a principal strategic partner and technical anchor for the CX Analytics team supporting The Home Depot's Pro Product team. This individual will own the end-to-end analytics lifecycle for critical Pro workstreams, driving active engagement with stakeholders to shape business requirements and turn complex specifications into high-quality deliverables.</div><div></div><div>
Acting as a trusted advisor to leadership, product managers, and UX designers, the Lead Analyst will define data requirements, architect reporting frameworks, and translate complex datasets into compelling, actionable narratives that directly influence the Pro Product strategy. Utilizing expert-level SQL, Python, Tableau, and emerging AI technologies, this role will champion data-driven problem-solving, spearhead innovation (including AI/GenBI integration), and establish the gold standard for analytics governance and knowledge management across the team.</div> 
Key Responsibilities:<ul><li>
20% - Business Collaboration - Leverage extensive business knowledge into solution approach. Effectively develop trust and collaboration with internal customers and cross-functional teams. Partner with Other Orgs to understand potential for new tools and ways to maintain technical agility for advanced analytics.</li><li>
25% - Project Management &amp; Team Support - Lead and manage large and complex projects and teams. Provide direction on prioritization of work and ensure quality of work. Collaborate with managers and team in the distribution of workload and resources. Serve as a technical subject matter expert (SME) on both predictive and prescriptive analytics. Drive effective Agile project delivery protocols to assure we gather and surface reliable, actionable enterprise level analytics. Ensure the team comprehends and applies the established processes and standards and mentor team on development.</li><li>
30% - Solution Development - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners. Clearly communicate impacts of recommendations to drive alignment and appropriate implementation. Develops solutions to transform data into useful, actionable information.</li><li>
25% - Technical Exploration &amp; Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs. Provide technical education on advanced analytics to analytics community. Drive analytics teams to get matured in predictive and prescriptive analytics.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to the Manager</li><li>
This position has 0 direct reports</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 18 years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li><div>
Proven experience in a technical project leadership and strategic ownership role.</div></li><li><div>
Expert-level proficiency with SQL and complex script development.</div></li><li><div>
Advanced experience architecting and deploying reports in Tableau.</div></li><li><div>
Strong proficiency in Python for data manipulation, statistical analysis, and automation.</div></li><li><div>
Demonstrated enthusiasm and practical knowledge of leveraging AI/Machine Learning applications for business insights.</div></li><li><div>
Exceptional data storytelling skills with the ability to translate technical findings for non-technical leadership.</div></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>
The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Minimum Years of Work Experience:<ul><li>
6</li></ul> 
Preferred Years of Work Experience:<ul><li>
7</li></ul> 
Minimum Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Preferred Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Develops Talent</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Lead Data Analyst - CX Analytics (Pro Product)

<div><div>Position Purpose:
This Manager Decision Analytics position manages people and processes related to the development of advanced analytics to support the company's strategic objectives. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical platforms and partnering with cross-functional teams to deliver high quality analytics solutions for the Home Depot. This role is expected to leverage effective communication skills to translate complex analyses into understandable insights, with a passion to learn and develop.
The PLA Pricing team develops pricing and yield optimization systems which support Orange Apron Media's (OAM's) Product Listing Ad (PLA) business. This involves statistical and ML solutions written in Python &amp; SQL. These solutions are then orchestrated at scale using Google Cloud Platform services such as Dataform and Composer.
This role interfaces heavily with the Strategy, Product, and Engineering teams that also support the PLA business. Strong technical communication skills are needed for collaboration and to translate business asks into technical deliverables. 
Key Responsibilities:<ul><li>
40% Collaborate with stakeholders, business partners, colleagues, developers and business analysts to deliver high quality analytics solutions</li><li>
45% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python</li><li>
5% Data cleansing, validation, testing</li><li>
5% Enhancements / modifications to systems &amp; procedures</li><li>
5% Supporting end users, problem solving, troubleshooting</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to a Sr Manager, Decision Analytics.</li><li>
This position has 1 direct report</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>
Master's degree in Analytics, Data Science, Finance, or related field is preferred</li><li>
Five to seven years of experience in analytics is preferred</li><li>
Experience with SQL and Python</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>
4</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>
None</li></ul></div> 
Apply End Date: 04/02/2026</div>

Manager, Quant Research - PLA Pricing (Remote)

<div>Position Purpose:
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies, improve automation using AI and improved customer experience. This role applies industry-leading Agentic AI capabilities for creatively solve business problems in the Contact Center space. 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 NLP, Conversational AI, Information Retrieval, Generative AI or search. 
As a Data Scientist, you will also be responsible for applying 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 industry experience in Machine Learning and AI (specifically Conversational AI)</li><li>
Prior background and experience in building Generative AI based solutions for industry is a plus</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 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 Machine Learning, Conversational AI, 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, Contact Center AI

<div>Position Purpose:
The Data Science Sr. Manager 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 data science, 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 Sr. Manager - Decision Analytics

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122 manager of business development jobs In Atlanta

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Data Scientist, Contact Center AI

Data Science Sr. Manager - Decision Analytics