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analytics manager

The Home Depot

Position Purpose: Decision Analytics associates produce insights that answer key enterprise questions around budget, priorities, courses of action, and important decisions. They develop frameworks for analysis by identifying the right metrics for consistent, effective insights that drive business outcomes. Decision Analytics associates are skilled in advanced analytics and analytical tools and languages such as GCP Big Query, Python, R, SQL, Jupyter Notebook, Adobe Analytics, and Tableau. While they may have the ability to support model development and AI/ML work, they are primarily focused on internal business insights (i.e., business intelligence). Decision Analytics associates possess the domain expertise to understand the businesses they support with their analysis. Senior Decision Analysts assist in 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 tools, and collaborating with cross- functional teams to deliver high quality analytical solutions for The Home Depot. The Senior Decision Analyst monitors transformation of data and works with appropriate technology teams to resolve issues relating to incorrect mapping, business rules, and data deviations. This role is expected to leverage effective communication skills to translate complex analyses into understandable insights for business clients, internal teams and key decision makers. The role will be enabling scaling of AB testing platform so they must have that prior experience. Solid understanding of statistics and methodologies, familiarity with Central Limit Theorem and Hypothesis Testing is ideal (z-test, t-test, chi sq testing, ANOVA etc.,) The senior analyst will be regularly exploring new methods such as Non-Parametric Testing, bootstrap methods that elevate our platform. Explore new technical landscape in the world of Experimentation and bring it to the fold for Home Depot Key Responsibilities: 65% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau. 10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data. 5% - Project Management &amp; Support - Supports end users, solve problems and troubleshoots numerous issues. 15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions. 5% - Technical Exploration &amp; Development - Develops additional technical competencies and subject matter expertise within core functional group, including but not limited to enhancements/modifications to systems and procedures. Direct Manager/Direct Reports: This position reports to the Manager This position has 0 direct reports Travel Requirements: No travel required. Physical Requirements: 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. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be 18 years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Master's degree in a quantitative field (Statistics, Analytics, Computer Science, etc.) or relevant work experience Understanding of the central limit theorem and hypothesis testing. 6+ years of experience in in data mining, statistical analysis, auditing, and/or forecasting Demonstrated expertise on data analysis and data visualization Demonstrated expertise on how to translate analysis into effective presentations Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems Ability to apply experience in a wide variety of database applications, analytical tools and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle and similar tools Working knowledge of Microsoft Excel and Power Point Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations Produce deep, statistical analysis in service of predictive insights Ability to partner with requesting organizations to build KPI frameworks Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML Ability to visualize data using Tableau Experience managing multiple projects and working in a fast-paced environment Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving. Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way. Superior interpersonal skills and ability to collaborate actively and work in a team environment. Ability to quickly learn and adapt to new technologies, tools, and techniques. Minimum Education: 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. Preferred Education: 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. Minimum Years of Work Experience: 5 Preferred Years of Work Experience: 6 Minimum Leadership Experience: No previous leadership experience Preferred Leadership Experience: No previous leadership experience Certifications: None Competencies: Action Oriented Collaborates Drives Engagement Communicates Effectively Customer Focus Drives Results Manages Conflict

Sr. Decision Analyst, Experimentation

4P Consulting Inc.

<div><div>Position: Technical Product Manager III
Location: Atlanta, GA
Duration: 4 Months
 
Client: Southern Company Services 
 
 
Southern Company Services is seeking an experienced Technical Product Manager III to lead cross-functional technology initiatives from concept through deployment. This role requires strong technical acumen, product ownership experience, and the ability to translate business needs into actionable product requirements and technical deliverables.
The ideal candidate will be comfortable working closely with engineering, architecture, and delivery teams while managing product backlogs, priorities, dependencies, and implementation timelines.
Key Responsibilities
&middot; Lead technology products and implementations from discovery through deployment.
&middot; Gather business requirements and translate them into product features, user stories, acceptance criteria, and technical deliverables.
&middot; Manage product roadmaps, priorities, backlogs, dependencies, and release plans.
&middot; Partner with engineering teams, architects, business leaders, and executive stakeholders.
&middot; Facilitate process discovery, future-state design, and business transformation workshops.
&middot; Support Agile ceremonies, sprint planning, backlog refinement, and delivery tracking.
&middot; Manage multiple workstreams and resolve delivery risks, issues, and dependencies.
&middot; Use data, user feedback, and experimentation to guide product decisions.
&middot; Promote user-centered design, process optimization, and continuous improvement.
&middot; Ensure solutions align with enterprise security, governance, compliance, and architecture standards.
Required Qualifications
&middot; 5+ years of experience as a Product Manager, Product Owner, Business Analyst, Scrum Master, Delivery Lead, or similar role.
&middot; Experience leading cross-functional technology implementations.
&middot; Strong knowledge of Agile, Scrum, product backlog management, and software delivery.
&middot; Experience translating business requirements into technical solutions.
&middot; Strong organizational, facilitation, communication, and stakeholder-management skills.
&middot; Ability to manage multiple priorities, workstreams, and delivery timelines.
&middot; Ability to influence teams and drive results without direct authority.
Preferred Qualifications
&middot; Experience delivering AI, Generative AI, machine learning, automation, or data and analytics solutions.
&middot; Familiarity with Azure, Google Cloud Platform, or related cloud and AI technology stacks.
&middot; Scrum Master or Product Owner certification, such as CSM, PSM, CSPO, or PSPO.
&middot; Experience working within enterprise governance, security, and compliance frameworks.
&middot; Knowledge of design thinking, process optimization, and business-process reengineering.
&middot; Utility, energy, or regulated-industry experience is preferred.</div></div>

Technical Product Manager III 4P/787

Position Purpose: The Sr. Data Scientist is responsible for leading data science initiatives within the Pro Intelligence and Acquisition &amp; Integration space that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. 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 Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Sr. Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities: 35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; 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 30% Project Management &amp; Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage 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; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented Direct Manager/Direct Reports: This position reports to manager or above This position has 0 Direct Reports Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: 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. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: PhD in a quantitative field (Computer Science, Math, Statistics, etc.) 6+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Proficient in a modern scripting language (preferably Python) Proficient running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated proficiency in predictive modeling, data mining and data analysis Minimum Education: 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. Preferred Education: No additional education Minimum Years of Work Experience: 5 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Cultivates Innovation: Creating new and better ways for the organization to be successful Customer Focus: Building strong customer relationships and delivering customer-centric solutions Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Senior Data Scientist - Decision Analytics, Pro

<div><div><div><div><div><div>Job ID</div>
<div>745781WD</div>
</div><div><div>Category</div>
<div>Business Application Consulting</div>
</div><div><div>Time Type</div>
<div>Full time</div>
</div><div><div>Specialty/Competency</div>
<div>Operations</div>
</div><div><div>Level</div>
<div>Manager</div>
</div><div><div>Travel Requirements</div>
<div>Up to 40%</div>
</div><div><div>Locations</div>
<div>Atlanta, Tampa, Charlotte, Jacksonville</div>
</div></div></div><div><div> 
The Opportunity
 
 
As a Bank Platform Transformation - Data Migration-Conversion Lead - Manager, you will play a pivotal role in guiding clients through the complexities of data migration and conversion within our Core Banking Technology sector. Your expertise in business application consulting will be instrumental in optimizing operational efficiency, analyzing client needs, implementing software solutions, and providing training and support for seamless integration and utilization of business applications.
 
 
As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for project success and maintaining standards, motivating and inspiring others to deliver quality. You will leverage team strengths and manage performance to meet client expectations, while embracing technology and innovation to enhance delivery.
 
 
In this role, you will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You will partner with team leadership to validate collective ownership of quality, timelines, and deliverables. Your growing knowledge of business operations will help identify opportunities that contribute to the success of our firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
 
 
Responsibilities
 
 
<ul><li>Leading data migration and conversion projects within banking and capital markets
</li><li>Analyzing client needs to implement software solutions that optimize operational efficiency
</li><li>Managing project planning, budgeting, execution, and completion to meet client expectations
</li><li>Guiding teams in the integration and utilization of business applications
</li><li>Providing training and support to clients for seamless software adoption
</li><li>Utilizing analytical reasoning and business data analytics to drive strategic transformation
</li><li>Developing documentation and delivering technical consultation for project success
</li><li>Embracing technology innovation to enhance project delivery and client satisfaction
</li><li>Building and maintaining relationships with stakeholders to address data challenges
</li><li>Mentoring team members to develop skills and encourage professional growth
</li></ul> 
What You Must Have
 
 
<ul><li>At least a Bachelor's degree
</li><li>At least 4 years of experience
</li></ul> 
What Sets You Apart
 
 
<ul><li>Preference for a Master's or Masters of Business Administration degree
</li><li>Demonstrating proficiency in business data analytics and technology integration
</li><li>Utilizing strategic planning and project management skills in banking
</li><li>Excelling in coaching and developing team members for performance
</li><li>Implementing technology solutions in core banking transformations
</li><li>Analyzing complex systems to identify opportunities for improvement
</li><li>Embracing change and innovation to drive business transformation 
</li></ul>The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.</div></div></div></div>

Bank Platform Transformation - Data Migration-Conversion Lead - Manager

Position Purpose: The Sr. Product Manager, Customer Experience is responsible for assessing market needs and inspiring cross-functional product teams to find the fastest way to achieve value around those needs. The role focuses on delivering business value to drive sales, improve efficiency, and improve customer satisfaction through the production of quality products. Within their designated enterprise product line, Sr. Product Managers work closely with teams 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. Importantly, the Sr. Product Manager, must be able to work at the strategic level (generating innovative ideas for growth, change management) and at the tactical level (analyzing data, solving problems, being a force multiplier and leader of their teams). The Sr. Product Manager is often responsible for products that are higher-profile and/or that are larger in scope. Key Responsibilities: 50% Strategy &amp; Planning: Seeks to empathize with and understand the end user deeply and use that knowledge to determine the fastest path to deliver value 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 Identifies goals, metrics and analytics to determine product value; continually makes recommendations and refinements to the product backlog based on learnings Manages and grooms the product backlog; makes future decisions based on the value that will be delivered Partners with Finance to understand financial needs and assist in the creation of business plans for new opportunities Monitors research as well as the competitive landscape to recommend the best solutions and ensure that products remain or become best in class Ensures that product directions balance both the user needs and business goals of driving sales, improving efficiency and enhancing customer satisfaction 20% Delivery &amp; Execution: Formulates, tests and refines assumptions and hypotheses through user research and testing Documents, reviews and ensures that all quality and change control standards are met Creates, prioritizes and accepts user stories; incorporate them into release planning Makes product decisions that drive value on a daily basis Identifies and considers pros, cons, issues, obstacles, dependencies and value associated with features and enhancements Participates in standups, iteration planning sessions, product demo, and retrospectives Condenses complex technical concepts into non-technical language for stakeholders 30% People: Fosters collaboration with team members (Engineering, UX, etc.) to drive value and identify and resolve impediments Acts as a proponent of modern software development practices Advocates for the end user and stakeholder by becoming associated with the product, empathizing with and understanding user needs Works with the product team to continuously assess progress, disseminate lessons learned, and understand next steps Manages cross functional team and stakeholder expectations to execute on product strategy and provides education to requestors to determine prioritization based on tangible benefits and/or user experience Guides more junior team members in strategy, alignment, analysis and execution tasks Participates in and contributes to learning activities around modern software design and development core practices (communities of practice) Participates in talent acquisition, development and retention activities in support of team Direct Manager/Direct Reports: Typically reports to the Product Management Manager or Sr. Manager. Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: 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. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: 3-6 years of relevant work experience Experience working as a Product Manager in a modern software development based enterprise environment 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 Proficiency in working in a fast paced, fluid environment where priorities shift on a regular basis Proficiency in communicating with and influencing functional and technical team members at all levels in the organization Proficiency in working as part of a collaborative, cross-functional, modern software design and development team Proficiency in creating, prioritizing and accepting user stories Proficiency in conducting user research and testing to understand needs Proficiency in identifying goals, metrics and analytics to measure product value Proficiency in conducting competitive research and analysis Experience guiding more junior team members through Product Management fundamentals in a professional setting Minimum Education: 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. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Cultivates Innovation: Creating new and better ways for the organization to be successful Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Manages Complexity: Making sense of complex, high quantity and sometimes contradictory information to effectively solve problems Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Organizational Savvy: Maneuvering comfortably through complex policy, process and people-related organizational dynamics Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations Empathy: Understands the needs of multiple stakeholders and is responsive in meeting their needs with the most optimal resolution

Sr. Product Manager, Customer Experience

Position Purpose: The Sr. Product Manager is responsible for assessing market needs and inspiring cross-functional product teams to find the fastest way to achieve value around those needs. The role focuses on delivering business value to drive sales, improve efficiency, and improve customer satisfaction through the production of quality products. Within their designated enterprise product line, Sr. Product Managers work closely with teams 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. Importantly, the Sr. Product Manager, must be able to work at the strategic level (generating innovative ideas for growth, change management) and at the tactical level (analyzing data, solving problems, being a force multiplier and leader of their teams). The Sr. Product Manager is often responsible for products that are higher-profile and/or that are larger in scope. Key Responsibilities: 50% Strategy &amp; Planning: Seeks to empathize with and understand the end user deeply and use that knowledge to determine the fastest path to deliver value 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 Identifies goals, metrics and analytics to determine product value; continually makes recommendations and refinements to the product backlog based on learnings Manages and grooms the product backlog; makes future decisions based on the value that will be delivered Partners with Finance to understand financial needs and assist in the creation of business plans for new opportunities Monitors research as well as the competitive landscape to recommend the best solutions and ensure that products remain or become best in class Ensures that product directions balance both the user needs and business goals of driving sales, improving efficiency and enhancing customer satisfaction 20% Delivery &amp; Execution: Formulates, tests and refines assumptions and hypotheses through user research and testing Documents, reviews and ensures that all quality and change control standards are met Creates, prioritizes and accepts user stories; incorporate them into release planning Makes product decisions that drive value on a daily basis Identifies and considers pros, cons, issues, obstacles, dependencies and value associated with features and enhancements Participates in standups, iteration planning sessions, product demo, and retrospectives Condenses complex technical concepts into non-technical language for stakeholders 30% People: Fosters collaboration with team members (Engineering, UX, etc.) to drive value and identify and resolve impediments Acts as a proponent of modern software development practices Advocates for the end user and stakeholder by becoming associated with the product, empathizing with and understanding user needs Works with the product team to continuously assess progress, disseminate lessons learned, and understand next steps Manages cross functional team and stakeholder expectations to execute on product strategy and provides education to requestors to determine prioritization based on tangible benefits and/or user experience Guides more junior team members in strategy, alignment, analysis and execution tasks Participates in and contributes to learning activities around modern software design and development core practices (communities of practice) Participates in talent acquisition, development and retention activities in support of team Direct Manager/Direct Reports: Typically reports to the Product Management Manager or Sr. Manager. Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: 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. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: 3-6 years of relevant work experience Experience working as a Product Manager in a modern software development based enterprise environment 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 Proficiency in working in a fast paced, fluid environment where priorities shift on a regular basis Proficiency in communicating with and influencing functional and technical team members at all levels in the organization Proficiency in working as part of a collaborative, cross-functional, modern software design and development team Proficiency in creating, prioritizing and accepting user stories Proficiency in conducting user research and testing to understand needs Proficiency in identifying goals, metrics and analytics to measure product value Proficiency in conducting competitive research and analysis Experience guiding more junior team members through Product Management fundamentals in a professional setting Minimum Education: 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. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Cultivates Innovation: Creating new and better ways for the organization to be successful Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Manages Complexity: Making sense of complex, high quantity and sometimes contradictory information to effectively solve problems Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Organizational Savvy: Maneuvering comfortably through complex policy, process and people-related organizational dynamics Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations Empathy: Understands the needs of multiple stakeholders and is responsive in meeting their needs with the most optimal resolution

Senior Product Manager - Home Services

Position Purpose: The Data Scientist will be a key architect in building next-generation agentic systems designed to revolutionize how professional customers manage complex projects. This role is responsible for developing autonomous AI capabilities that bridge the gap between simple search and sophisticated project quoting and fulfillment. You will leverage advanced techniques in Conversational AI, Retrieval-Augmented Generation (RAG), and Multimodal AI to unlock vast enterprise catalogs, automate project and product configuration, and provide real-time sourcing across a massive enterprise assortment. As a member of the team, you will design the reasoning paths that allow AI agents to navigate &quot;Pro-speak&quot; queries, extract intent from multimodal project inputs, and manage complex state across omnichannel sessions. Your work will directly empower Pro customers to move from discovery to optimized quoting to transaction in minutes, providing a seamless, self-serve experience at scale. Key Responsibilities: 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 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 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 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 Direct Manager/Direct Reports: This position typically reports to Manager or above This position has 0 Direct Reports Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: 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. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience AI Orchestration: 4+ years of experience in Data Science with a focus on Conversational AI, GenAI, agentic workflows, custom tool-calling, and reasoning traces (e.g., LangSmith). Advanced Retrieval: Mastery of RAG and vector database architectures, specifically for extracting technical specs from unstructured enterprise data. Multimodal AI: Experience building pipelines to extract structured SKU-level intent from unstructured multimodal inputs, such as photos or handwritten lists. Algorithmic Logic: Background in similarity scoring and attribute-matching to resolve vague technical queries. State &amp; Engineering: Experience building stateful AI applications that maintain context across devices and sessions. Domain Expertise: Prior experience in B2B e-commerce, supply chain, or trade-related data is a significant plus. Technical Expertise: Experience in a modern scripting language (preferably Python); proficient running queries against data (preferably with Google BigQuery or SQL); proficient utilizing statistical techniques to identify key insights that help solve business problems; knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP; working knowledge of Microsoft Excel and Power Point Minimum Education: 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. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Data Scientist

Explore 104+ Analytics manager in Atlanta this August. Find roles across top companies and apply now to boost your career.