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data science senior manager generative bi

The Home Depot

<div>Position Purpose:
The Data Science Sr. Manager - GenBI is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
Key Responsibilities:<ul><li>
50% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments</li><li>
15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs</li><li>
25% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management</li><li>
10% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to Director or above</li><li>
This position has Direct Reports and manages programs</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Proficient managing and growing team members in a professional setting</li><li>
Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting</li><li>
Demonstrated experience with translating high level strategy to tactical execution</li></ul> 
Preferred Qualifications:<ul><li>
11+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Demonstrated expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
10</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div>

Data Science Senior Manager - Generative BI

<div>Position Purpose:
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this strategic initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics. 
The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
Key Responsibilities:<ul><li>
40% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments</li><li>
25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts</li><li>
15% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management</li><li>
20% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Senior Manager or above</li><li>
This position has Direct Reports &amp; manages programs</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Strong background in Business Intelligence (BI), enterprise data strategy, and semantic layers.</li><li>
Experience building, deploying, or working with AI agents and multi-agent architectures.</li><li>
Hands-on experience with Databricks is a strong plus.</li><li>
9+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Experience managing and growing team members in a professional setting</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
8</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div>

Data Science Manager - GenBI

<div>Position Purpose:
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics. 
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. 
Key Responsibilities:<ul><li>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Strong background in Business Intelligence (BI) and semantic layers.</li><li>
Experience building, deploying, or working with AI agents and multi-agent architectures.</li><li>
Hands-on experience with Databricks is a strong plus.</li><li>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
4+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated experience in predictive modeling, data mining and data analysis</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Data Scientist - GenBI

Intuit

<div><h2 class="jobSectionHeader">Overview</h2>
Intuit Mailchimp is the leading marketing automation and CRM platform for small and medium businesses. We help millions of entrepreneurs grow their audiences and turn insights into action &mdash; across email, social, web, and commerce.
As part of Intuit&rsquo;s ecosystem, Mailchimp connects the power of data, AI, and human creativity to empower every marketer to grow smarter, faster, and more confidently. We&rsquo;re transforming marketing through AI-driven, connected experiences that help small businesses compete and win.
We&rsquo;re looking for a Senior Staff Product Manager to lead the Social Marketing product pillar at Intuit Mailchimp.
In this highly strategic and customer-impacting role, you&rsquo;ll define and execute the AI-forward vision for how millions of small businesses create, publish, and optimize their presence across social media channels &mdash; driving measurable increases in reach, engagement, leads, and sales.
You&rsquo;ll lead cross-functional efforts across engineering, design, data science, marketing, and partnerships to build the next generation of social marketing experiences &mdash; ones that are intelligent, automated, and deeply integrated with Mailchimp&rsquo;s broader marketing suite.
You&rsquo;ll be responsible for shaping Mailchimp&rsquo;s position in the social marketing ecosystem and for delivering &ldquo;done-for-you&rdquo; and &ldquo;done-with-you&rdquo; AI-powered solutions that take the complexity out of social marketing, allowing customers to focus on running their business while Mailchimp helps them grow it. 
Responsibilities<ul><li>
Own the Vision &amp; Strategy: Define and drive the multi-year strategy for Mailchimp&rsquo;s Social Marketing product area, including creation, publishing, optimization, and analytics across major social channels (Meta, LinkedIn, X, TikTok, YouTube, and more).</li><li><div>
Lead with AI: Partner with Intuit&rsquo;s AI and data science teams to embed Generative AI into the end-to-end customer journey &mdash; from content ideation and post generation to performance insights and intelligent automation.</div></li><li><div>
Deliver Customer Growth: Ensure the social marketing experience directly drives customer outcomes &mdash; increased engagement, traffic, lead generation, and sales conversions &mdash; by building products that are not only easy to use, but measurably effective.</div></li><li><div>
Shape the Ecosystem: Define how social marketing connects across Mailchimp&rsquo;s core surfaces (email, websites, analytics, commerce) to deliver a unified, AI-powered marketing platform. 
Champion Customer Empathy: Lead discovery efforts, synthesize customer insights, and translate them into differentiated, customer-backed solutions that simplify marketing for time-constrained small business owners.</div></li><li><div>
Drive Platform Scale: Build a robust, reliable, and extensible publishing and analytics infrastructure capable of supporting millions of social interactions and third-party integrations.</div></li><li>
Influence Across Intuit: Act as a thought leader on AI-driven social marketing strategy, partnering with other product leaders across Intuit to define how AI and automation shape the future of customer growth experiences</li><li>
Mentor &amp; Inspire: Guide and mentor junior PMs and cross-functional partners, fostering a culture of innovation, collaboration, and measurable impact.</li></ul> 
Qualifications<ul><li><ul><li>
8+ years of product management experience, with at least 3+ years in a senior or staff-level leadership capacity.</li><li>
Proven success leading large-scale social or social ads products, ideally with complex integrations, that deliver strong measurable business outcomes.</li><li>
Deep understanding of social media ecosystems, APIs, publishing workflows, and content performance analytics.</li><li>
Experience driving AI/ML-powered products &mdash; particularly in automation, content generation, or marketing optimization.</li><li>
Strong product vision paired with a rigorous, data-driven approach to prioritization, experimentation, and measurement. 
Exceptional leadership and communication skills &mdash; able to influence at executive levels and rally teams around ambitious goals.</li><li>
Passion for helping small businesses thrive through intelligent marketing and automation.</li></ul></li></ul> 
Preferred Qualifications<ul><li>
Familiarity with Generative AI (LLMs), content intelligence systems, or AI/ML lifecycle management.</li><li>
Demonstrated thought leadership in social or marketing platform innovation.</li><li>
Proven ability to scale products globally, ensuring reliability, compliance, and performance across markets.</li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California $ 205,500- 278,000 New York $205,000- 277,500 References Visible links 1. https://www.intuit.com/careers/benefits/full-time-employees/ Mountain View $205500 - $278000 
Atlanta, GA $174000- $235500 
New York $205000- $277500</div>

Senior Staff Product Manager, Social Marketing (Mailchimp)

<div><h2 class="jobSectionHeader">Overview</h2>
Intuit is a global financial technology platform that powers prosperity for the people and communities we serve. With 100M+ customers using TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe every business should have the opportunity to grow through smarter marketing, better data, and thoughtful automation.
We are looking for a Group Product Manager, Marketing Channels to lead the core execution surfaces that power growth for millions of Mailchimp customers. As Mailchimp expands beyond traditional email marketing into Social Marketing and Advertising, this team owns the strategy and evolution of our primary customer engagement channels.
In this role, you will define the multi-year vision for how our channels evolve into an intelligent, AI-powered, and deeply integrated omnichannel growth system. You will lead a team of senior product managers focused on simplifying execution, scaling innovation, and delivering cohesive cross-channel experiences that help businesses connect with customers and grow with confidence. 
Responsibilities
Product Vision &amp; Strategy<ul><li>
Define and communicate a clear, compelling multi-year vision for Mailchimp&rsquo;s Marketing Channels portfolio, spanning Email, Social Marketing, and Advertising.</li><li><div>
Translate company and omnichannel strategy into actionable roadmaps that evolve each channel into an AI-powered, outcome-driven growth engine.</div></li><li><div>
Balance near-term customer and revenue opportunities with longer-term investments in platform scalability, automation, and cross-channel cohesion.</div></li><li>
Identify expansion opportunities across new channels, formats, and ecosystem partnerships that unlock incremental growth for customers.</li></ul>
Customer &amp; Market Insight<ul><li>
Develop deep empathy for small and mid-sized businesses and how they use different marketing channels to drive awareness, engagement, and revenue.</li><li><div>
Partner with Research, Analytics, and Go-to-Market teams to uncover friction in channel setup, orchestration, and optimization.</div></li><li>
Use customer insights, performance data, and competitive intelligence across MarTech and AdTech to inform product direction and differentiation.</li></ul>
Channel Platform &amp; AI Evolution<ul><li>
Lead the evolution of Mailchimp&rsquo;s channels into intelligent, automated systems that simplify execution while improving effectiveness.</li><li><div>
Partner with AI/ML and Data Platform teams to embed predictive insights, generative capabilities, and automated optimization into channel workflows.</div></li><li><div>
Ensure channels are designed with scalability, reliability, compliance, and global readiness as first-class requirements.</div></li><li>
Drive consistency in user experience and measurement across channels to support cohesive omnichannel execution.</li></ul>
Cross-Functional Leadership<ul><li>
Lead a team of product managers and collaborate closely with engineering, design, data science, CX, and go-to-market partners to deliver high-impact initiatives.</li><li><div>
Align stakeholders around priorities, sequencing, and trade-offs across Email, Social, and Advertising.</div></li><li>
Represent the channels portfolio in executive forums, providing clarity on strategy, progress, and business impact.</li></ul>
Execution &amp; Operational Excellence<ul><li>
Drive disciplined execution across multiple pods, ensuring clear goals, defined milestones, and strong cross-team communication.</li><li><div>
Establish and manage portfolio-level OKRs and KPIs focused on adoption, engagement, retention, and revenue impact.</div></li><li>
Guide teams through complex, multi-quarter programs including cross-channel integrations, AI feature launches, and external platform partnerships.</li></ul>
Team Development &amp; Product Craft<ul><li>
Hire, mentor, and develop high-performing PMs, raising the bar for strategic thinking and execution rigor.</li><li><div>
Foster a culture of experimentation, customer-centric decision making, and measurable impact.</div></li><li>
Elevate product craft across discovery, prioritization, experimentation, and storytelling.</li></ul> 
Qualifications<ul><li> 
10+ years of product management experience, with significant experience leading marketing technology, advertising, messaging, or channel-based products in SaaS environments.</li><li><div>
Proven success managing and developing senior product managers and leading teams through complex, multi-quarter initiatives.</div></li><li><div>
Deep understanding of email marketing, social media platforms, advertising ecosystems, APIs, and channel performance measurement.</div></li><li><div>
Experience building AI- or automation-driven capabilities such as generative content, predictive optimization, targeting, or performance recommendations.</div></li><li><div>
Strong technical fluency; comfortable discussing APIs, integrations, data flows, experimentation frameworks, and scalable system design with engineering and data partners.</div></li><li>
Demonstrated ability to define multi-year strategy while delivering measurable near-term business impact.</li><li>
Data-driven mindset with experience defining and operationalizing product and business metrics to guide prioritization and measure outcomes.</li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California: $237,500 - 321,500 Southern California:$214,500 - 290,000 New York $227,500- 307,500 References Visible links 1. https://www.intuit.com/careers/benefits/full-time-employees/ Mountain View $237500 - $321500 
Atlanta, GA $188500- $255000 
New York $227500- $307500</div>

Group Product Manager, Marketing Channels (Mailchimp)

<div>Position Purpose:
The purpose of the Senior Data Analyst for Product Data Insights &amp; Tooling is to turn our vast item catalog into a high-performance engine for decision-making. The Senior Data Analyst is responsible for leveraging complex, large-scale data to derive actionable insights that directly influence and support executive-level merchandising strategy. This role requires a blend of advanced technical data manipulation skills and a deep understanding of retail merchandising principles to translate raw data into clear, impactful business recommendations. In this position, the Senior Data Analyst will build and support automation, leverage AI tooling, and collaborate cross-functionally in alignment with the executive strategy. The position requires knowledge of merchandising, an analytical skillset, and an entrepreneurial mindset.
Key responsibilities include:<ul><li>
Manipulating and analyzing large, complex datasets to identify trends, patterns, and opportunities related to category and product performance, customer behavior, and market dynamics.</li><li>
Translating analytical findings into concise, compelling recommendations and presenting them to leadership to inform and validate merchandising strategies.</li><li>
Developing and maintaining dashboards and reports to track key performance indicators, effectively communicating merchandising insights to cross-functional stakeholders.</li><li>
Partnering with cross-functional teams to align analytical projects with overarching business goals and providing data-driven guidance.</li></ul> 
Key Responsibilities:<ul><li>
Represents the Merchandising function in business process evaluation, procedural development, systems requirements definition and systems functional design.</li>
Project/Initiative Management<li>-Partners with senior and department management and cross-functional teams in determining and defining business need/requirements; project plans, risk assessments, communication, implementation, training and change management</li><li>
Manages the business and project team expectations including addressing project issues, changes; May directly supervise staff members in the development, implementation and support of applications and business processes to meet the client's business requirements.</li><li>
Driving the requirements gathering efforts for a project (either development or implementation), including managing the expectations of the project manager, the stakeholders, the project team and executive management.</li><li>
Proposing alternatives and solutions to requirements management for each project that most closely aligns with the specific timetables, objectives and business issues at hand.</li><li>
Consulting with cross-functional managers, project managers, management and customers to ensure that all projects undertaken adequately address requirement related issues. Understanding the business case behind all projects, including the motivating factors for all stakeholders. Working with the Business Manager to analyze all potential opportunities to enhance, improve and refine the requirements gathering processes.</li><li>
Establishes and reports on metrics of assigned projects to gauge business value (ROI).; Audits and evaluates implemented projects (systems/processes, for example) to support continuous improvement opportunities.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Typically reports to Manager or Senior Manager Merchandise Mgt Systems</li><li>
No associates report to this role on a permanent basis, but requires the leadership of a work group: assign and review work, train and contribute to performance appraisal (but not hiring, firing or disciplinary action).</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>
Bachelor&rsquo;s degree in Business, Analytics, Data Science, or a related field.</li><li>
3-5+ years of experience in a data analytics role, preferably within a retail or merchandising environment.</li><li>
Proven expertise in manipulating and analyzing large datasets using SQL and/or other programming languages (e.g., Python, R).</li><li>
Strong proficiency with data visualization tools such as Tableau or Power BI.</li><li>
Excellent ability to communicate complex data concepts and recommendations to both technical and non-technical audiences, including senior leadership.</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>
5</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>
Proficient in business process evaluation and procedure development; Demonstrates a thorough knowledge of all tools, processes, methodologies and standards for requirements gathering, documentation and analysis.</li><li>
Previous experience supervising professionals</li><li>
Experience or in-depth knowledge of retail merchandising and/or logistics; possesses cross functional retail knowledge.</li><li>
Strong communication, analytical, organizational, leadership and teamwork skills; Demonstrated experience in process improvement and/or SDLC and project management methodology</li><li>
PC proficiency, including knowledge of worksheet, word processing, project management and presentation applications</li></ul></div>

Senior Analyst, Item Data Management – Data Quality

Visa

<div>
 
 Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
 
 
 
 
 At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters &mdash; to you, to your community, and to the world.
 
 
 
 
 Progress starts with you.
 
 
 
 
 
 
 Job Description
 
 
 
 
 As part of Visa Predictive Fraud Intelligence team (PFI), you will leverage cutting-edge technologies to perform statistical profiling, inference, classification, clustering and predictive analysis. As a key member of the data science team, you will create and implement sophisticated machine learning models to help derive new insights to defend against fraud attempts.
 
 
 
 
 You will be working with a large variety of data sets, cutting-edge analytical technologies, and world-class operation teams to create awesome analytics for security and other business units.
 
 
 
 
 
 Your responsibilities include:
 
 
 
 
 <ul>
 <li>
 Analyze transaction event logs using Spark and big data technologies and develop deeper insights into products using advanced statistical methods.
 </li>
 <li>
 Devise and implement deep learning models for building user behavior profiles. This includes data acquisition, feature engineering, model development, and deployment.
 </li>
 <li>
 Support and optimize other existing analytical models/products.
 </li>
 <li>
 Maintain the backend operations pipeline, including the job scheduler and data processes.
 </li>
 <li>
 Devise and implement methods for efficiently monitoring model effectiveness and performance in production.
 </li>
 <li>
 Use GenAI to create an agentic framework that enhances fraud detection efficiency.
 </li>
 <li>
 As a member of the PFI team, you will work closely with other data scientists and data engineers to build, design, engineer, and develop analytical services that deliver fraud detection abilities and improve the efficiency and capabilities through automation.
 </li>
 <li>
 Communicate clean and persuasive data directly to end users, leadership, and other stakeholders, technical and non-technical.
 </li>
 </ul>
 
 This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 Basic Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree, with 1-2 years of relevant work experience
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 
 
 <ul>
 <li>
 2 years of work experience.
 </li>
 <li>
 1-2 years of relevant work experience with either bachelor&rsquo;s or master&rsquo;s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.
 </li>
 <li>
 Solid background and hands on experiences with building Machine learning, deep learning and AI models.
 </li>
 <li>
 Experience with Generative AI/LLM Excellent understanding of algorithms and data structures and proficiency in Python and SQL.
 </li>
 <li>
 Experience working with large datasets using tools and Hadoop, Spark, or Hive. Excellent analytic and problem-solving capability combined with ambition to solve hard problems. Strong communications skills and ability to collaborate. Highly driven, resourceful and results oriented. Good team player and excellent interpersonal skills. Demonstrated ability to lead and navigate through ambiguity.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 
 
 Work Hours:
 
 
 Varies upon the needs of the department.
 
 
 
 
 
 
 Travel Requirements:
 
 
 This position requires travel 5-10% of the time.
 
 
 
 
 
 
 Mental/Physical Requirements:
 
 
 This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
 
 
 
 
 Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
 
 
 
 
 Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
 
 
 
 
 
 U.S. APPLICANTS ONLY: The estimated salary range for this position is 116,800.00 to 180,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
 
 
 
 
</div>

Data Scientist, Predictive Fraud Intelligence

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