{"schemaVersion":"jobsearcher.job.v1","id":"cc7f0d55ad4e8f981a6506a5","url":"https://jobsearcher.com/jobs/cc7f0d55ad4e8f981a6506a5","canonicalUrl":"https://jobsearcher.com/jobs/cc7f0d55ad4e8f981a6506a5","title":"Manager, Data Visualization","description":"Brainlabs is the media agency built to answer one question: what's actually driving profit? Founded in 2012 by Daniel Gilbert, we were built by engineers before we were a media agency. Today, 1,000+ Brainlabbers across five continents use our proprietary agents, built on 32 media tools and over 2,500 logged experiments, to help brands connect every channel they plan and buy to one thing: the bottom line.\nClassification: Full-time\nReporting to: Director, Data Science\nLocation: New York City, New York | Dallas, Texas | Boca Raton, Florida | San Francisco, California | Los Angeles, California\nCompensation: We are open to hiring candidates in our various office locations across the United States. We also receive applications from, and hire, candidates with varying levels of experience for example those who have a few years experience in a role to those who are looking to make a step up. The salary ranges on our job postings are set so as to account for these variable factors with decisions on the salary to be offered only made once we know the experience and location of our new hire.\nWork Authorization: Must be legally entitled to work in the United States\nWhat's the role\nThe Manager will be responsible for leading BI initiatives, ensuring governance, and driving advanced analytics strategies. This role requires expertise in data visualization, automation, stakeholder management, and people leadership. The candidate is expected to oversee BI projects, manage reporting frameworks, implement governance processes, mentor teams, and enhance business impact through data-driven decision-making. AI is front and center in this role: the successful candidate will use AI-native BI tooling, connect dashboards directly to the data engineering team's AI and GenAI pipeline outputs, implement automated anomaly detection, and enable prompt-driven self-service reporting so views update at pace without manual intervention.\n\nSo, tell me about the company\nBrainlabs is culture-first. You've probably heard other companies describe themselves as people, clients, or profit first – but we see people, clients and profit as the building blocks of our ecosystem. Culture powers all three and we know that when the ecosystem is balanced, we all win! That's why the culture we cultivate is a culture of winning together.\nTo learn more about what it's like to be a Brainlabber, check out our culture code.\nWhat you do\nBI Strategy and Governance:\nDefine and implement BI strategy to align with business objectives.\nEstablish governance frameworks for data integrity, security, and standardization.\nDevelop and enforce best practices for data visualization, automation, and self-service reporting.\nEnsure compliance with data policies and regulatory requirements.\nAdvanced BI Platform and Dashboard Management:\nOversee the development and optimization of dashboards using Datorama, Looker Studio, Tableau, or Power BI.\nLead initiatives to automate reporting processes and improve data efficiency.\nStandardize reporting templates to drive consistency and accuracy across business units.\nEvaluate emerging BI tools and technologies for continuous improvements.\nDeploy AI-native BI features (e.g., Looker AI / Gemini integration, Tableau Pulse, or Copilot in Power BI) to automate dashboard generation, view refresh, and standardized reporting aligned with the data engineering team.\nConnect BI views directly to the data engineering team's AI and GenAI pipeline outputs so dashboards reflect AI-generated data automatically,\nDevelop detailed project plans with accurate time, resource, and effort estimates to ensure smooth project execution.\nCollaborate with internal teams to drive efficient project execution and maintain delivery standards.\nAddress client and stakeholder escalations promptly, ensuring a structured resolution approach.\nCollaborate with senior leadership to design strategies that contribute to revenue growth and operational efficiency.\nData Governance and Quality Assurance:\nDefine and monitor key data quality metrics across multiple data sources.\nImplement data validation frameworks to prevent inconsistencies and anomalies.\nCollaborate with data engineers to enhance data pipelines and ensure scalability.\nDrive initiatives to improve ETL processes and reduce data latency.\nPeople Management and Team Development:\nLead, mentor, and develop a team of BI specialists and analysts.\nFoster a culture of continuous learning and innovation within the BI team.\nConduct performance evaluations, provide feedback, and identify training needs.\nEnsure effective collaboration within cross-functional teams to drive efficiency.\n\nProcess Optimization and Automation:\nIdentify inefficiencies in reporting workflows and implement automation solutions.\nDrive the adoption of self-service BI tools to reduce manual reporting dependencies.\nImplement AI and ML capabilities across BI reporting, including predictive analytics, anomaly detection, and AI-generated narrative summaries that surface key data changes without manual effort.\nEnable prompt-driven, natural language querying of dashboards (e.g., via Gemini in Looker or Microsoft Copilot) so stakeholders get instant answers without raising manual reporting requests.\nBuild and maintain standard BI views that connect directly to the data engineering team's AI and GenAI pipeline outputs, ensuring dashboards reflect AI-generated data automatically and consistently across teams.\nDevelop and maintain documentation for BI solutions, ensuring knowledge retention.\nAlign BI initiatives with overall business goals and key performance indicators.\nDrive collaboration between data analysts, engineers, and business users to optimize insights delivery.\nLead workshops and training sessions to enhance data literacy across teams.\nTime Management and Multi-Project Oversight:\nManage multiple BI projects with competing priorities, ensuring timely delivery.\nBalance workload effectively while maintaining high-quality outputs.\nImplement project management best practices to improve reporting efficiency.\nCommunication and Reporting to Market/Clients/Senior Leadership:\nMaintain clear and consistent communication with senior leadership regarding BI initiatives.\nProvide data-driven recommendations to support executive decision-making.\nWho you are\nBachelor's degree in Engineering, Computer Science, Business Analytics, Data Science, or a related field.\n4-7 years of experience in BI, data analytics, or data visualization.\nExpertise in at least two BI tools: Datorama, Looker Studio, Tableau, or Power BI.\nStrong knowledge of SQL for querying and data manipulation.\nExcellent problem-solving skills with a strategic mindset.\nExperience in implementing data governance frameworks and best practices.\nDemonstrated experience using AI-native BI features (Looker AI, Tableau Pulse, or Copilot in Power BI) to build, automate, and refresh dashboards at pace without manual intervention.\nProven ability to design and maintain BI views that integrate directly with AI/ML pipeline outputs from the data engineering team, including model-generated data and GenAI process results.\nHands-on experience implementing automated anomaly detection and AI-generated narrative summaries within BI reporting environments.\nGood to Have:\nCertifications in BI tools such as Tableau, Power BI, or Looker.\nExperience in marketing analytics, media performance reporting, or digital advertising data.\nFamiliarity with scripting languages like Python or R for data automation.\nExposure to cloud-based data platforms like BigQuery, Snowflake, or AWS.\nExperience in Agile methodologies and project management frameworks.\nKnowledge of AI/ML techniques for predictive analytics.\nFamiliarity with natural language query interfaces for BI (e.g., Gemini in Looker, Microsoft Copilot in Power BI, or Tableau Ask Data) and experience enabling prompt-driven self-service reporting for stakeholders.\nHow you succeed\nYou successfully deliver complex projects on time and within scope, with clear stakeholder alignment throughout\nYour strategic recommendations and measurement frameworks directly influence client business decisions and outcomes\nClients view you as a trusted advisor who deeply understands their business and data landscape\nYou actively develop the skills and careers of team members under your mentorship\nYou drive innovation through reusable frameworks, templates, and process improvements that benefit the broader team\nWhat happens next\nWe know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.\nBrainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities.\nThank you for your interest in Brainlabs! We look forward to getting to know you!\n#LI-MB1\n\nWhat happens next?\nWe know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.\nBrainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know!\nPlease note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.","company":"Brainlabs","rawCompany":"brainlabs","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-20T12:39:43.571Z","occupations":[{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541611","title":"Administrative Management and General Management Consulting Services","slug":"administrative-management-and-general-management-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Manager, Data Visualization","description":"Brainlabs is the media agency built to answer one question: what's actually driving profit? Founded in 2012 by Daniel Gilbert, we were built by engineers before we were a media agency. Today, 1,000+ Brainlabbers across five continents use our proprietary agents, built on 32 media tools and over 2,500 logged experiments, to help brands connect every channel they plan and buy to one thing: the bottom line.\nClassification: Full-time\nReporting to: Director, Data Science\nLocation: New York City, New York | Dallas, Texas | Boca Raton, Florida | San Francisco, California | Los Angeles, California\nCompensation: We are open to hiring candidates in our various office locations across the United States. We also receive applications from, and hire, candidates with varying levels of experience for example those who have a few years experience in a role to those who are looking to make a step up. The salary ranges on our job postings are set so as to account for these variable factors with decisions on the salary to be offered only made once we know the experience and location of our new hire.\nWork Authorization: Must be legally entitled to work in the United States\nWhat's the role\nThe Manager will be responsible for leading BI initiatives, ensuring governance, and driving advanced analytics strategies. This role requires expertise in data visualization, automation, stakeholder management, and people leadership. The candidate is expected to oversee BI projects, manage reporting frameworks, implement governance processes, mentor teams, and enhance business impact through data-driven decision-making. AI is front and center in this role: the successful candidate will use AI-native BI tooling, connect dashboards directly to the data engineering team's AI and GenAI pipeline outputs, implement automated anomaly detection, and enable prompt-driven self-service reporting so views update at pace without manual intervention.\n\nSo, tell me about the company\nBrainlabs is culture-first. You've probably heard other companies describe themselves as people, clients, or profit first – but we see people, clients and profit as the building blocks of our ecosystem. Culture powers all three and we know that when the ecosystem is balanced, we all win! That's why the culture we cultivate is a culture of winning together.\nTo learn more about what it's like to be a Brainlabber, check out our culture code.\nWhat you do\nBI Strategy and Governance:\nDefine and implement BI strategy to align with business objectives.\nEstablish governance frameworks for data integrity, security, and standardization.\nDevelop and enforce best practices for data visualization, automation, and self-service reporting.\nEnsure compliance with data policies and regulatory requirements.\nAdvanced BI Platform and Dashboard Management:\nOversee the development and optimization of dashboards using Datorama, Looker Studio, Tableau, or Power BI.\nLead initiatives to automate reporting processes and improve data efficiency.\nStandardize reporting templates to drive consistency and accuracy across business units.\nEvaluate emerging BI tools and technologies for continuous improvements.\nDeploy AI-native BI features (e.g., Looker AI / Gemini integration, Tableau Pulse, or Copilot in Power BI) to automate dashboard generation, view refresh, and standardized reporting aligned with the data engineering team.\nConnect BI views directly to the data engineering team's AI and GenAI pipeline outputs so dashboards reflect AI-generated data automatically,\nDevelop detailed project plans with accurate time, resource, and effort estimates to ensure smooth project execution.\nCollaborate with internal teams to drive efficient project execution and maintain delivery standards.\nAddress client and stakeholder escalations promptly, ensuring a structured resolution approach.\nCollaborate with senior leadership to design strategies that contribute to revenue growth and operational efficiency.\nData Governance and Quality Assurance:\nDefine and monitor key data quality metrics across multiple data sources.\nImplement data validation frameworks to prevent inconsistencies and anomalies.\nCollaborate with data engineers to enhance data pipelines and ensure scalability.\nDrive initiatives to improve ETL processes and reduce data latency.\nPeople Management and Team Development:\nLead, mentor, and develop a team of BI specialists and analysts.\nFoster a culture of continuous learning and innovation within the BI team.\nConduct performance evaluations, provide feedback, and identify training needs.\nEnsure effective collaboration within cross-functional teams to drive efficiency.\n\nProcess Optimization and Automation:\nIdentify inefficiencies in reporting workflows and implement automation solutions.\nDrive the adoption of self-service BI tools to reduce manual reporting dependencies.\nImplement AI and ML capabilities across BI reporting, including predictive analytics, anomaly detection, and AI-generated narrative summaries that surface key data changes without manual effort.\nEnable prompt-driven, natural language querying of dashboards (e.g., via Gemini in Looker or Microsoft Copilot) so stakeholders get instant answers without raising manual reporting requests.\nBuild and maintain standard BI views that connect directly to the data engineering team's AI and GenAI pipeline outputs, ensuring dashboards reflect AI-generated data automatically and consistently across teams.\nDevelop and maintain documentation for BI solutions, ensuring knowledge retention.\nAlign BI initiatives with overall business goals and key performance indicators.\nDrive collaboration between data analysts, engineers, and business users to optimize insights delivery.\nLead workshops and training sessions to enhance data literacy across teams.\nTime Management and Multi-Project Oversight:\nManage multiple BI projects with competing priorities, ensuring timely delivery.\nBalance workload effectively while maintaining high-quality outputs.\nImplement project management best practices to improve reporting efficiency.\nCommunication and Reporting to Market/Clients/Senior Leadership:\nMaintain clear and consistent communication with senior leadership regarding BI initiatives.\nProvide data-driven recommendations to support executive decision-making.\nWho you are\nBachelor's degree in Engineering, Computer Science, Business Analytics, Data Science, or a related field.\n4-7 years of experience in BI, data analytics, or data visualization.\nExpertise in at least two BI tools: Datorama, Looker Studio, Tableau, or Power BI.\nStrong knowledge of SQL for querying and data manipulation.\nExcellent problem-solving skills with a strategic mindset.\nExperience in implementing data governance frameworks and best practices.\nDemonstrated experience using AI-native BI features (Looker AI, Tableau Pulse, or Copilot in Power BI) to build, automate, and refresh dashboards at pace without manual intervention.\nProven ability to design and maintain BI views that integrate directly with AI/ML pipeline outputs from the data engineering team, including model-generated data and GenAI process results.\nHands-on experience implementing automated anomaly detection and AI-generated narrative summaries within BI reporting environments.\nGood to Have:\nCertifications in BI tools such as Tableau, Power BI, or Looker.\nExperience in marketing analytics, media performance reporting, or digital advertising data.\nFamiliarity with scripting languages like Python or R for data automation.\nExposure to cloud-based data platforms like BigQuery, Snowflake, or AWS.\nExperience in Agile methodologies and project management frameworks.\nKnowledge of AI/ML techniques for predictive analytics.\nFamiliarity with natural language query interfaces for BI (e.g., Gemini in Looker, Microsoft Copilot in Power BI, or Tableau Ask Data) and experience enabling prompt-driven self-service reporting for stakeholders.\nHow you succeed\nYou successfully deliver complex projects on time and within scope, with clear stakeholder alignment throughout\nYour strategic recommendations and measurement frameworks directly influence client business decisions and outcomes\nClients view you as a trusted advisor who deeply understands their business and data landscape\nYou actively develop the skills and careers of team members under your mentorship\nYou drive innovation through reusable frameworks, templates, and process improvements that benefit the broader team\nWhat happens next\nWe know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.\nBrainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities.\nThank you for your interest in Brainlabs! We look forward to getting to know you!\n#LI-MB1\n\nWhat happens next?\nWe know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.\nBrainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know!\nPlease note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.","datePosted":"2026-07-20T12:39:43.571Z","dateModified":"2026-07-20T12:39:43.571Z","hiringOrganization":{"@type":"Organization","name":"Brainlabs","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cc7f0d55ad4e8f981a6506a5"},"url":"https://jobsearcher.com/jobs/cc7f0d55ad4e8f981a6506a5"}}