Manager, Data Visualization

Manager, Data Visualization

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.

Classification: Full-time Reporting to: Director, Data Science Location: New York City, New York | Dallas, Texas | Boca Raton, Florida | San Francisco, California | Los Angeles, California Compensation: 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. Work Authorization: Must be legally entitled to work in the United States

The 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.

Brainlabs 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.

To learn more about what it's like to be a Brainlabber, check out our culture code.

BI Strategy and Governance:

• Define and implement BI strategy to align with business objectives.
• Establish governance frameworks for data integrity, security, and standardization.
• Develop and enforce best practices for data visualization, automation, and self-service reporting.
• Ensure compliance with data policies and regulatory requirements.

Advanced BI Platform and Dashboard Management:

• Oversee the development and optimization of dashboards using Datorama, Looker Studio, Tableau, or Power BI.
• Lead initiatives to automate reporting processes and improve data efficiency.
• Standardize reporting templates to drive consistency and accuracy across business units.
• Evaluate emerging BI tools and technologies for continuous improvements.
• Deploy 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.
• Connect BI views directly to the data engineering team's AI and GenAI pipeline outputs so dashboards reflect AI-generated data automatically.

Data Governance and Quality Assurance:

• Define and monitor key data quality metrics across multiple data sources.
• Implement data validation frameworks to prevent inconsistencies and anomalies.
• Collaborate with data engineers to enhance data pipelines and ensure scalability.
• Drive initiatives to improve ETL processes and reduce data latency.

People Management and Team Development:

• Lead, mentor, and develop a team of BI specialists and analysts.
• Foster a culture of continuous learning and innovation within the BI team.
• Conduct performance evaluations, provide feedback, and identify training needs.
• Ensure effective collaboration within cross-functional teams to drive efficiency.

Process Optimization and Automation:

• Identify inefficiencies in reporting workflows and implement automation solutions.
• Drive the adoption of self-service BI tools to reduce manual reporting dependencies.
• Implement 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.
• Enable 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.
• Build 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.
• Develop and maintain documentation for BI solutions, ensuring knowledge retention.
• Align BI initiatives with overall business goals and key performance indicators.

• Drive collaboration between data analysts, engineers, and business users to optimize insights delivery.
• Lead workshops and training sessions to enhance data literacy across teams.

Time Management and Multi-Project Oversight:

• Manage multiple BI projects with competing priorities, ensuring timely delivery.
• Balance workload effectively while maintaining high-quality outputs.
• Implement project management best practices to improve reporting efficiency.

Communication and Reporting to Market/Clients/Senior Leadership:

• Maintain clear and consistent communication with senior leadership regarding BI initiatives.
• Provide data-driven recommendations to support executive decision-making.

Bachelor's degree in Engineering, Computer Science, Business Analytics, Data Science, or a related field.

• 4-7 years of experience in BI, data analytics, or data visualization.
• Expertise in at least two BI tools: Datorama, Looker Studio, Tableau, or Power BI.
• Strong knowledge of SQL for querying and data manipulation.
• Excellent problem-solving skills with a strategic mindset.
• Experience in implementing data governance frameworks and best practices.
• Demonstrated 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.
• Proven 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.
• Hands-on experience implementing automated anomaly detection and AI-generated narrative summaries within BI reporting environments.

Good to Have:

• Certifications in BI tools such as Tableau, Power BI, or Looker.
• Experience in marketing analytics, media performance reporting, or digital advertising data.
• Familiarity with scripting languages like Python or R for data automation.
• Exposure to cloud-based data platforms like BigQuery, Snowflake, or AWS.
• Experience in Agile methodologies and project management frameworks.
• Knowledge of AI/ML techniques for predictive analytics.
• Familiarity 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.

You successfully deliver complex projects on time and within scope, with clear stakeholder alignment throughout

• Your strategic recommendations and measurement frameworks directly influence client business decisions and outcomes
• Clients view you as a trusted advisor who deeply understands their business and data landscape
• You actively develop the skills and careers of team members under your mentorship
• You drive innovation through reusable frameworks, templates, and process improvements that benefit the broader team

We 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.

Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities.

Thank you for your interest in Brainlabs! We look forward to getting to know you!