Sr Manager Data & Analytics - Affirmative for Women

At Blip, we believe data is at the heart of our business success, powering decisions and creating value across the organization. We are looking for a dynamic and experienced Sr Data & Analytics Engineering Manager to lead our Data Platform, Governance, and Architecture teams. This senior leadership role is crucial in driving the development and evolution of our cutting-edge data systems while ensuring compliance, security, and scalability.

We're looking for a Senior Data & Analytics Engineering Manager to lead the teams responsible for Data Platform, Governance, and Architecture, translating data strategy into organizational execution and ensuring our data foundations are robust, scalable, and deeply integrated into the company's business and product fabric.

This role sits at the intersection of people leadership, technical strategy, and cross-functional partnership, owning the outcomes of a high-performing data engineering organization and driving the evolution of Blip's data capabilities from the ground up.

You'll build and lead the teams that power Blip's data ecosystem, from platform infrastructure and data modeling to governance and AI enablement.

You'll translate strategic intent into organizational execution: hiring the right people, setting the right direction, and creating the conditions for engineering excellence at scale.

• Own the vision and roadmap for the Data Platform, Governance, and Architecture teams, aligning priorities with business and product goals.
• Drive the design, implementation, and continuous improvement of a scalable, secure, and efficient data platform supporting both transactional and analytical workloads.
• Partner with Platform, AI, and Product Engineering leaders to ensure data architecture supports current and future business needs.
• Translate complex organizational and technical trade-offs into clear decisions with measurable business impact.
  

Team Development & Engineering Culture

• Build, mentor, and manage a high-performing team of data engineers, analytics engineers, and architects.
• Foster a culture of engineering excellence, continuous improvement, and accountability, anchored in an Engineering First Mindset.
• Establish clear career development paths, performance expectations, and coaching practices across the team.
• Drive talent acquisition and onboarding to scale team capabilities in line with platform ambitions.

Governance, Security & Compliance

• Define and enforce data governance policies that ensure accuracy, integrity, and security across the organization.
• Partner with legal, compliance, and domain teams to maintain adherence to GDPR, LGPD, and CCPA requirements.
• Ensure governance frameworks are operationalized, not just documented, through tooling, automation, and team practices.

Architecture & Technical Direction

• Guide the design of a flexible, future-proof data architecture that supports complex business models and analytical workloads.
• Provide technical oversight across ingestion, processing, curation, and serving layers without being the individual implementing them.
• Act as the organizational bridge between strategic architectural decisions and their execution by staff and senior engineers.

Cross-functional Collaboration & Strategic Impact

• Operate as a key leader across Data, Product, Engineering, and Infrastructure domains, influencing roadmaps, priorities, and organizational decisions.
• Represent the Data organization in company-wide initiatives around modernization, AI enablement, and platform evolution.
• Drive a culture of experimentation and learning, staying current on industry trends to keep Blip's data capabilities at the forefront.

Experience

• 8+ years in Data Engineering, Analytics Engineering, or related disciplines, with at least 3 years in a people management or team leadership role.
• Proven experience leading and scaling data teams across platform, governance, or architecture domains.
• Track record of delivering measurable outcomes in reliability, data quality, cost optimization, or engineering productivity through organizational execution.
• Experience driving or participating in large-scale data platform modernization initiatives.
• Demonstrated ability to influence cross-functional stakeholders and translate business requirements into technical direction.

Technical Foundations

• Deep familiarity with modern data platform technologies and cloud environments, particularly GCP; working knowledge of Azure and/or AWS.
• Solid understanding of distributed data systems, data pipelines, and ELT/ETL patterns.
• Proficiency in SQL and data modeling, with a focus on scalable analytical solutions.
• Working knowledge of data governance frameworks, data quality and observability practices, and compliance requirements.
• Familiarity with infrastructure-as-code, CI/CD practices, and developer experience patterns in data environments.

Bonus Points

• Experience operating in or transitioning toward a data mesh or federated data architecture model.
• Familiarity with agentic or AI-assisted data workflows and their implications for platform design.
• Background in FinOps applied to data infrastructure at scale.

You’ll join a company with global ambitions and a highly motivated Data team, working to reshape how businesses interact with customers through conversational AI and intelligent platforms. Here, you won’t just build systems, you’ll help shape the foundation of what’s next.