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analytics manager

The Home Depot

<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. This role is responsible for the end-to-end development and integration of data products, with a specific focus on CRM related data and its seamless integration with our Enterprise Data Warehouse (EDW). The ideal candidate will possess exceptional SQL, data visualization, and analytical skills to not only develop but also to effectively communicate data-driven insights. A key function of this role will be to collaborate closely with stakeholders to define the intent and logic of data updates, ensuring they align with business expectations before production work begins. Furthermore, this individual will be tasked with curating and translating business requirements into actionable Jira stories for our EDW engineers, acting as a critical bridge between our business and technical teams. 
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, Finance, or Information Systems or related field is preferred</li><li>
Five to seven years of experience in analytics is preferred</li><li>
Experience in SQL, SAS, Tableau, R, python and similar tools preferred</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>

Manager Decision Analytics

<div>Position Purpose:
The Sr. Manager Decision Analytics position leads the Insights and Reporting functions for Store Operations and Services divisions. This role works closely with the Director within Decision Analytics in defining the analytical strategy and approach for projects and processes and effectively manage talent. The role works cross-functionally with business partners from across Store Operations, Services, Product 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 analytical and reporting platforms, and partnering with cross-functional teams to deliver high quality analytics solutions for The Home Depot. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency for solutions and recommendations. 
Key Responsibilities:<ul><li>
60% Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions</li><li>
25% 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 Director.</li><li>
This position has 2-3 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>
Master's degree in Analytics, Finance, or Information Systems or related field is preferred</li><li>
Eight or more years of experience in analytics or business intelligence is preferred</li><li>
Experience in SQL, SAS, Tableau, R, python and similar tools preferred</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>
6</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>

Senior Manager Decision Analytics - Insights & Reporting

<div>Position Purpose:
The Manager, Marketing Analytics will lead the team responsible for marketing insight generation and analysis in support of Home Depot's marketing, merchandising, operations, and other cross-functional groups. The incumbent will lead a team working to leverage a combination of marketing measurement models like MMM, MTA, LTA, OAM and channel platform ROAS to generate insights and recommendations designed to spur the business forward. 
The Manager, Marketing Analytics will work with business partners to prioritize and execute against reporting enhancements and analytical projects required to deliver business results. In addition, this role will work extensively in partnership with the product management team, engineering and key vendors to determine short-term and long-term needs for tools that support evolving analytics &amp; reporting needs. 
Key Responsibilities:<ul><li>
20% Responsible for presenting analysis and test results and resulting</li><li>
recommendations to peers and senior management. Leverage data to assist in defining site enhancement requirements and be able to present a compelling business case for securing those investments.</li><li>
10% Communicate opportunities to drive financial goals cross-functionally by</li><li>
making suggestions that support site-wide objectives.</li><li>
20% Lead conversion planning and forecasting on a weekly, monthly, seasonal, and annual level. Lead ongoing ad hoc analysis of critical business issues that impact marketing performance; translate analysis into executable recommendations.</li><li>
10% Draw reasonable and actionable conclusions from analytic summaries and recommend changes to existing policies and processes based on analytic conclusions and understanding of business requirements and drivers. Support recommendations with clear business case that demonstrates bottom-line value.</li><li>
10% Prioritize and manage execution of requests for report enhancements and</li><li>
analysis from business partners. Establish and evangelize improved data-driven views of performance.</li><li>
10% Collaborate with peers to ensure consistency of information, methodologies and reports. Share best practices and develop systems knowledge to deliver new reports and enhance existing reports to meet needs.</li><li>
10% Manage analytic project prioritization based on business needs. Maintain and prioritize a list of enhancements requested for all measurement technology in place at Home Depot.</li><li>
10% Share leadership for the teams responsible for analytics (reporting and analysis) and, over-time, structured site (A/B, MVT) testing.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Sr. Manager</li><li>
This position has 3 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><li>
No travel required</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>
Manages a team of 1-5 direct reports</li><li>
Accountable for direct supervision of the work activities of others, in addition to personnel issues (including selection, termination, performance appraisal and professional development of subordinates)</li></ul> 
Preferred Qualifications:<ul><li>
MBA or Masters preferred</li><li>
Demonstrated experience managing a team of technically advanced analytical professionals</li><li>
Experience managing an A/B testing program and working with database-driven sites and content management tools</li><li>
Experience in relevant marketing analytics and models</li><li>
Ability to communicate with both business and technical resources, particularly the skill of expressing complex issues with clarity &amp; simplicity</li><li>
Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines</li><li>
Open to idea exploration with strong problem-solving/analytical abilities</li><li>
Leadership and supervisory skills</li><li>
Possess executive-level communication and presentation skills</li><li>
Demonstrated strength in creating partnerships and in building relationships with other functions and associates within the organization</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> 
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Competencies:<ul><li>
Decision Quality</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Ensures Accountability</li><li>
Plans and Aligns</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Develops Talent</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Manager, Marketing Analytics

<div>Position Purpose:
Home Depot&rsquo;s Orange Apron Media (OAM) is seeking a Manager of Reporting &amp; Insights to lead measurement strategy and execution for a category of Supplier/Advertisers within our retail media network.
In this role, you will guide a team of Senior Analysts to uncover performance insights and drive media effectiveness. Your team will evaluate marketing impact using tools such as MTA ROAS, media delivery analytics, and advanced reporting, as well as brand lift, A/B testing, and incrementality studies to deliver clear, actionable learnings to internal and external stakeholders.
You will be a key driver of Return on Marketing Objective (ROMO) storytelling&mdash;translating complex data into compelling narratives that influence advertiser growth and shape future investment strategies.
The ideal candidate is a strong people leader who is passionate about both marketing measurement and team development. You should bring an ownership mindset, a collaborative spirit, and strong communication skills to support cross-functional partners and foster excellence across people, processes, and products. 
Key Responsibilities:<ul><li>
30% Project Identification,Scoping &amp; management: Partner w/marketing &amp; merchandising leadership to identify business needs for customer analytics. Provide thought partnership in strategic merchandising &amp; marketing decisions. Ensure accurate &amp; timely completion of various projects by effectively utilizing offshore &amp; onsite resources.</li><li>
20% Establish best practices and identify opportunities to improve efficiency. Develop best in class methodologies to extract actionable insights from new data streams like mobile app, social and clickstream data.</li><li>
10% Mentor new team members and provide Subject Matter Expertise in Statistical analytic techniques.</li><li>
10% Develop Predictive models to identify marketing opportunities.</li><li>
20% Customer Analytics: Provide analytical and customer-centric decision support to Marketing &amp; Merchandising teams. Leverage customer database and other information systems to identify, integrate and analyze data.</li><li>
10% Dashboard Development and Reporting: Establish and report on metrics of assigned projects or categories to gauge business impact and opportunities for improvement.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Position reports to Sr Manager Customer Analytics</li><li>
May have various 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>
Expertise in Marketing Measurement: Deep understanding of marketing analytics across digital media and retail, with direct experience applying methods like Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and brand lift.</li><li>
Analytical &amp; Technical Skills: Intermediate proficiency in SQL for data extraction and hypothesis testing; experienced in data visualization tools such as Tableau to build compelling, insight-driven narratives.</li><li>
Strategic Problem Solving: Partner cross‑functionally to product manage measurement roadmaps and offerings, ensuring solutions meet the evolving needs of non‑endemic and emerging segments.</li><li>
Test-and-Learn Mindset: Proven success in building and scaling test-and-learn functions to enhance media performance and inform optimization strategies.</li><li>
People Leadership: Track record of leading, developing, and scaling high-performing teams in fast-growing environments, with a focus on accountability, coaching, and mentorship.</li><li>
Influence &amp; Communication: Exceptional communicator with the ability to translate technical insights for non-technical audiences and influence stakeholders at all levels.</li><li>
Change Management &amp; Collaboration: Experienced in navigating organizational change, fostering cross-functional alignment, and building strong partnerships across teams.</li><li>
Market Awareness: Ability to conduct competitive research and apply insights to inform strategy and innovation.</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> 
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Competencies:<ul><li>
Proven ability to analyze, evaluate and interpret complex data using advanced statistical, econometric and quantitative analysis techniques.</li><li>
Expertise in quantitative theories and techniques (regression, decision trees, logistic regression, cluster/factor analysis and ANOVA etc) and their role in a business context.</li><li>
Skilled in the use of statistical programming software, especially SAS or R.</li><li>
Proficient with PowerPoint, Excel, Access.</li><li>
Proficiency in working with large relational databases, especially Teradata, Netezza and Hadoop.</li></ul></div>

Manager, Reporting and Insights

<div>Position Purpose: 
The role requires critical thought leadership focused on developing analytical processes, tools, and strategy for driving improved performance throughout the supply chain. This role is responsible for managing an organization that spans a wide-range of functional and technical skillsets. This role helps to drive analytical initiatives to tangible results meeting and exceeding the supply chain&rsquo;s operational and financial targets. The role requires considerable analytical and technical skills, ability to effectively describe those processes to leadership, and successfully drive implementation. The role requires strong partnership &amp; communication skills with operational teams. 
 
Key Responsibilities:<ul><li>
15% - Capital Planning - Establishes short and long range capital plans and executes projects in a timely and fiscally responsible manner with utmost customer satisfaction.</li><li>
20% - Implementation - Develops, plans and implements department's goals and objectives.</li><li>
15% - Problem Solving - Provides sophisticated and scalable solutions when confronting challenging analytical and technical challenges.</li><li>
50% - Team Leadership - Manages, develops, and maintains a team dedicated to analytics projects throughout numerous elements of the supply chain.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Director Supply Chain Analytics.</li><li>
This role has 3 direct reports.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 5% 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>
Working knowledge of Tableau</li><li>
Working knowledge of presentation software (e.g., Microsoft PowerPoint)</li><li>
Proficient with data mining software (e.g., IBM Cognos Business Intelligence, Hadoop)</li><li>
Demonstrated ability to collaborate and work effectively with cross-functional teams</li><li>
Ability to develop and apply advanced mathematical/statistical techniques</li><li>
Ability to draw accurate conclusions from financial documentation</li><li>
Demonstrated project management skills</li><li>
Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences</li><li>
Excellent written and verbal communication skills</li><li>
M.S. in Computer Science, Math, Engineering, supply chain or related quantitative field</li><li>
Work experience with SQL Server, Teradata, Oracle, or comparable database systems</li><li>
Expert knowledge in large scale information retrieval and statistical 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>
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>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
7</li></ul> 
Minimum Leadership Experience:<ul><li>
2</li></ul> 
Preferred Leadership Experience:<ul><li>
3</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Business Insights</li><li>
Builds Effective Teams</li><li>
Cultivates Innovation</li><li>
Ensures Accountability</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Develops Talent</li><li>
Connecting End to End Impacts</li><li>
Translating Complexity</li></ul></div>

Sr. Manager Data Analytics

<div>Position Purpose: 
The role requires critical thought leadership focused on developing analytical processes, tools, and strategy for driving improved performance throughout the supply chain. This role is responsible for managing team of analysts and senior analysts with strong, wide-ranging technical abilities. This role helps to drive analytical initiatives to tangible results. The role requires considerable analytical and technical skills while being able to use complex analytical processes and then effectively describe those processes to leadership. The role requires partnership and communication skills with operations teams. 
 
Key Responsibilities:<ul><li>
10% - Planning and Implementation - Plans and implements department's goals and objectives.</li><li>
40% - Problem Solving - Provides sophisticated and scalable solutions when confronting challenging analytical and technical challenges.</li><li>
10% - Project Management - Executes projects in a timely and fiscally responsible manner with utmost customer satisfaction.</li><li>
40% - Team Leadership - Manages, develops, and maintains a team dedicated to analytics projects throughout numerous elements of the supply chain.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Senior Manager</li><li>
This role has direct reports.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 5% 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>
Working knowledge of Microsoft Office Suite</li><li>
Working knowledge of Tableau</li><li>
Working knowledge of presentation software (e.g., Microsoft PowerPoint)</li><li>
Working knowledge of analytical/statistics software (e.g., SPSS, SAS, R, Stata)</li><li>
Working knowledge of HRIS software (e.g., IBM Kenexa, PeopleFluent, Tesseract)</li><li>
Proficient with data mining software (e.g., IBM Cognos Business Intelligence, Hadoop)</li><li>
Demonstrated ability to collaborate and work effectively with cross-functional teams</li><li>
Ability to develop and apply advanced mathematical/statistical techniques</li><li>
Ability to draw accurate conclusions from financial documentation</li><li>
Demonstrated project management skills</li><li>
Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences</li><li>
Ability to negotiate, handle complaints, settle disputes, and resolve grievances with both internal and external customers</li><li>
Excellent written and verbal communication skills</li><li>
Working experience with Google Big Query</li><li>
Working knowledge of writing SQL and/or Python</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>
Bachelor's degree</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
4</li></ul> 
Minimum Leadership Experience:<ul><li>
1+ year of previous leadership experience</li></ul> 
Preferred Leadership Experience:<ul><li>
2+ years of previous leadership experience</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Being Resilient</li><li>
Business Insights</li><li>
Decision Quality</li><li>
Directs Work</li><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Ensures Accountability</li><li>
Manages Complexity</li><li>
Optimizes Work Processes</li><li>
Plans and Aligns</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li><li>
Strategic Mindset</li></ul></div>

Manager Analytics

<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

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