accounting & back office operations manager

financial analyst

senior business analyst

accounting & back office operations manager Jobs in Atlanta

accounting manager

associate data analyst

business analytics manager

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
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.<br>
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.<br>
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.</p><p><b><br>
Key Responsibilities:</b></p><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><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically reports to Senior Manager or above</li><li>
This position has Direct Reports &amp; manages programs</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><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><p><b><br>
Minimum Education:</b></p><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><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
8</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><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><p></p>

Data Science Manager - GenBI

Rialtic, Inc.

<div><h3 class="jobSectionHeader"><b>Role Overview</b></h3>
<h4 class="jobSectionHeader"><b>The Senior Manager, Claims Analytics, leads the claims analytics function within the Implementation organization. This role is responsible for overseeing complex reimbursement and payment accuracy analyses, managing analysts, setting analytical standards, and partnering cross-functionally with GTM, Customer Success, Product, and Engineering teams to ensure successful client implementations.</b></h4>
<h4 class="jobSectionHeader"><b>This role combines deep healthcare claims expertise with people leadership, strategic thinking, and operational execution to scale analytics capabilities and drive measurable financial outcomes for clients.</b></h4>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<h4 class="jobSectionHeader"><b>Leadership &amp; Strategy</b></h4>
<ul><li><h4 class="jobSectionHeader"><b>Lead and mentor a team of Implementation Claims Analysts, setting priorities, performance expectations, and development plans. Define and standardize analytical methodologies, reporting frameworks, and best practices for claims and reimbursement analysis.</b></h4>
</li><li><h4 class="jobSectionHeader"><b>Partner with Implementation leadership to align analytics deliverables with client goals, timelines, and success metrics.</b></h4>
</li><li><h4 class="jobSectionHeader"><b>Act as a subject-matter expert in claims analytics for complex or high-visibility client implementations.</b></h4>
</li></ul><h4 class="jobSectionHeader"><b>Analytics &amp; Execution</b></h4>
<ul><li><h4 class="jobSectionHeader"><b>Oversee large-scale analysis of claims data related to charge capture, reimbursement, underpayment, overpayment, and payment accuracy.</b></h4>
</li><li><h4 class="jobSectionHeader"><b>Ensure the delivery of exception-driven, actionable insights that clearly identify systemic versus isolated issues.</b></h4>
</li><li><h4 class="jobSectionHeader"><b>Review and validate analytical outputs, ensuring accuracy, consistency, and clarity in reporting and client-facing deliverables.</b></h4>
</li><li><h4 class="jobSectionHeader"><b>Guide analyses related to:</b><br>
</h4>
</li><li><ul><li><h4 class="jobSectionHeader"><b>Payor reimbursement behavior and trends</b></h4>
</li><li><h4 class="jobSectionHeader"><b>RVU productivity and payment alignment</b></h4>
</li><li><h4 class="jobSectionHeader"><b>Revenue cycle optimization opportunities</b></h4>
</li><li><h4 class="jobSectionHeader"><b>Financial performance to benchmarks, goals, and norms</b><br>
</h4>
</li></ul></li></ul><h4 class="jobSectionHeader"><b>Cross-Functional Collaboration</b></h4>
<ul><li><h4 class="jobSectionHeader"><b>Partner with GTM and Customer Success teams to support implementations, renewals, and expansion opportunities through analytics insights.</b></h4>
</li><li><h4 class="jobSectionHeader"><b>Collaborate with Product and Engineering teams to influence roadmap priorities based on claims analysis findings and client needs.</b></h4>
</li><li><h4 class="jobSectionHeader"><b>Serve as a senior analytics representative in client-facing discussions, executive readouts, and strategic reviews.</b><br>
</h4>
</li></ul><h4 class="jobSectionHeader"><b>Technical Oversight</b></h4>
<ul><li><h4 class="jobSectionHeader"><b>Guide data ingestion and processing pipelines using SQL*Loader, Oracle, shell scripting, and cloud-based tools.</b></h4>
</li><li><h4 class="jobSectionHeader"><b>Oversee advanced analytics leveraging </b><b>SQL, PL/SQL, Python, Scala, Spark, and AWS</b><b>.</b></h4>
</li><li><h4 class="jobSectionHeader"><b>Ensure scalable, repeatable approaches to analyzing </b><b>billions of claims records</b><b> across clients.</b><br>
</h4>
</li></ul><h4 class="jobSectionHeader"><b>Required Qualifications</b></h4>
<ul><li><h4 class="jobSectionHeader"><b>8+ years of experience in healthcare claims analytics, payment accuracy, or reimbursement analysis.</b></h4>
</li><li><h4 class="jobSectionHeader"><b>Prior experience working with claims editing or payment accuracy vendors.</b></h4><b>
</b></li><li><h4 class="jobSectionHeader"><b>Strong expertise in medical coding, billing guidelines, and reimbursement methodologies.</b></h4><b>
</b></li><li><h4 class="jobSectionHeader"><b>Proven people leadership experience managing and developing analytics teams.</b></h4><b>
</b></li><li><h4 class="jobSectionHeader"><b>Advanced proficiency in SQL and experience working with large healthcare datasets.</b></h4><b>
</b></li><li><h4 class="jobSectionHeader"><b>Strong executive communication and presentation skills.\</b></h4></li></ul></div><p></p>

Claims Analytics Manager

Delta Air Lines

<div></div><div><div><div><div><div><div><b>UNITED STATES, GEORGIA, ATLANTA</b></div><b><br>
 </b><div></div><div><b>DELTA PROFESSIONAL SERVICES</b></div><b><br>
 </b><div></div><div><b>12-APR-2026</b></div><b><br>
 </b><div></div><div><b>REF #: 31962</b></div><b>
</b></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>HOW YOU'LL HELP US KEEP CLIMBING (OVERVIEW &amp; KEY RESPONSIBILITIES)</b></h3>
</div></div><div><div><div>The Business Insights Specialist is a vital role providing support for data and information management processes.</div><div></div><div><br>
This position will report to the General Manager of Revenue Management and Business Insights at Delta Professional Services (DPS), a wholly owned subsidiary of Delta Air Lines.</div><div></div><div><br>
DPS provides highly qualified and experienced supplemental instructors to our parent company DAL as well as several other Part 121 air carriers. DPS also operates the FAA Part 142 Delta Air Crew Training Center on behalf of Delta providing type rating, recurrent, and ATP-CTP training packages. We are experts in recruiting and staffing according to data driven models to ensure target event coverage with the highest standards</div><div><ul><li>
Supports spreadsheet processes to ensure operational goals are met.</li><li>
Provides analytical support and data reporting to identify operational efficiency improvement opportunities.</li><li>
Promote process optimization in processes and tools.</li><li>
Implement data quality checks and monitoring.</li><li>
Optimize data pipelines for performance and cost.</li><li>
Learn new techniques within cloud-based platforms</li><li>
Facilitate the standardization of best practices across the businesses using the Business Process Network (application of business process, master data, roles and responsibilities, and system use)</li><li>
Directs intake of servicing communications work request and conducts proper due diligence.</li><li>
Communicate proactively on the operational progress and issues during the forecast cycle.</li><li>
Maintains a solid understanding of Delta professional Services goals, objectives, and metrics and effectively communicates them to the organization.</li><li>
Supports the General Manager &ndash; Revenue Management and Business Insights at DPS for day-to-day activities.</li></ul></div></div><br>
<div></div>
</div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>BENEFITS AND PERKS TO HELP YOU KEEP CLIMBING</b></h3>
</div></div><div><div>Our culture is rooted in a shared dedication to living our values &ndash; Care, Integrity, Resilience, Servant Leadership, and Teamwork &ndash; every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way:</div><div><ul><li>
Competitive salary, industry-leading proﬁt sharing program, and performance incentives</li><li>
401(k) with generous company contributions up to 9%</li><li>
Paid time off including vacation, holidays, paid personal time, maternity and parental leave</li><li>
Comprehensive health beneﬁts including medical, dental, vision, short/long term disability and life beneﬁts</li><li>
Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages</li><li>
Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health</li><li>
Domestic and International space-available flight privileges for employees and eligible family members</li><li>
Career development programs to achieve your long-term career goals</li><li>
World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint</li><li>
Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies</li><li>
Recognition rewards and awards through the platform Unstoppable Together</li><li>
Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare</li></ul></div>
</div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS)</b></h3>
</div></div><div><div><div><ul><li>Ability to meet deadlines, service level commitments, and handle multiple tasks.</li><li>
Work in a fast-paced environment while maintaining an attention to detail.</li><li>
Good working knowledge of Microsoft Office software is required.</li><li>
Microsoft excel or Smartsheet experience.</li><li>
Proficient in Data Analytics platforms like Power BI or Tableau.</li><li>
Experience enhancing existing processes through Artificial Intelligence.</li><li>
Detail-oriented, analytical ability and strong oral/written communication skills are also required.</li><li>
Must be able to work well with others in a time-sensitive team environment.</li><li>
Flexibility responding to unexpected situations and desire to learn is critical for success.</li><li>
Demonstrates that privacy is a priority when handling personal data.</li><li>
Embraces a diverse set of people, thinking and styles.</li><li>
Consistently makes safety and security, of self and others, the priority.</li><li>
Ensure analytical projects are aligned and prioritized based on needs of the business.</li><li>
An ability to think innovatively and creatively, strong communication and change management skills team player who can work effectively with all levels of the organization.</li><li>
Diversity - Ability to work in a friendly, respectful, and professional manner with people regardless of their age, gender, race, ethnicity, religion, national origin, disability etc.</li><li>
Honesty/Integrity/Ethical Standards &ndash; Ability to maintain high moral standards and be honest and ethical while performing job duties.</li><li>
Consistently prioritizes safety and security of self, others, and personal data.</li><li>
Embraces diverse people, thinking, and styles.</li><li>
Possesses a high school diploma, GED, or high school equivalency.</li><li>
Is at least 18 years of age and has authorization to work in the United States.</li></ul></div></div><br>
<div></div>
</div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS)</b></h3>
</div></div><div><div><ul><li>3-5 years of relevant work experience</li><li>
Preferred major in the area of Business, Information Systems, Statistics and/or equivalent work experience</li></ul></div></div></div></div></div><p></p>

Specialist, Business Data Analytics, Delta Professional Services

<div><div><p><b>Position Purpose:</b></p><p><br>
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.<br>
<br>
<b>Key Responsibilities:</b></p><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><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This Position typically reports to Director Supply Chain Analytics.</li><li>
This role has 3 direct reports.</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel less than 5% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be 18 years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><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><p><b><br>
Minimum Education:</b></p><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><p><b><br>
Preferred Education:</b></p><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><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
5</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
7</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
2</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
3</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><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><p><br>
Apply End Date: 04/28/2026</p></div>

Sr. Manager Data Analytics

<div><p><b>Position Purpose:</b></p><p>
The Data Science Sr. Manager - GenBI is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.<br>
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.</p><p><b><br>
Key Responsibilities:</b></p><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><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position reports to Director or above</li><li>
This position has Direct Reports and manages programs</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><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><p><b><br>
Preferred Qualifications:</b></p><ul><li>
11+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Demonstrated expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li></ul><p><b><br>
Minimum Education:</b></p><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><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
10</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><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><p></p>

Data Science Senior Manager - Generative BI

<div><p><b>Position Purpose:</b></p><p>
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.</p><p><b><br>
Key Responsibilities:</b></p><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><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
Reports to a Sr Manager, Decision Analytics.</li><li>
This position has 1 direct report</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><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><p><b><br>
Minimum Education:</b></p><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><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
4</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
None</li></ul></div><p></p>

Manager Decision Analytics

<div><p><b>Position Purpose:</b></p><p>
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.</p><p><b><br>
Key Responsibilities:</b></p><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><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
Reports to a Director.</li><li>
This position has 2-3 direct reports.</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><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><p><b><br>
Minimum Education:</b></p><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><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
6</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
None</li></ul></div><p></p>

Senior Manager Decision Analytics - Insights & Reporting

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