DATA DELIVERY LEAD | CLOUD DATA PLATFORMS (HYBRID / REMOTE)

iTRTech Group; São Paulo; Híbrido; BRL 180 000 - 320 000; Tempo integral

Resumo da oferta

EY BR in Brazil seeks a Senior Data Delivery Lead to steer end-to-end data and analytics initiatives. You will unite Data Engineering, Architecture, QA, and business teams to deliver data products that align with strategic priorities and governance requirements.

The role emphasizes cloud modernization, DataOps, and delivering measurable outcomes. Hybrid/remote work options apply based on location, with English proficiency needed for international collaboration.

Qualificações

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, Computer Engineering, Mathematics, Statistics, or related field.
• Advanced English proficiency (C1/C2) for international communication.
• Experience coordinating multidisciplinary teams across data engineering, architecture, QA, and business.
• Experience managing data projects through full delivery lifecycle.
• Strong skills in roadmap planning, scope management, scheduling, and risk/dependency handling.
• Knowledge of modern data architectures (data warehouses, data lakes, lakehouse) and cloud data platforms.

Responsabilidades

• Lead end-to-end delivery of strategic data and analytics projects, programs, or products.
• Coordinate multidisciplinary teams across Data Engineering, Architecture, QA, and business functions.
• Define and track roadmaps, delivery plans, timelines, milestones, and success criteria.
• Manage scope, risks, issues, blockers, and dependencies across teams and platforms.
• Ensure delivery meets timelines, quality standards, and data governance requirements.
• Act as a key link between technical teams, business stakeholders, and leadership.
• Facilitate decisions aligning business priorities, architecture, and execution.
• Drive Agile delivery practices including planning, backlog refinement, prioritization, and continuous improvement.
• Ensure clear deliverables, dependencies, and acceptance criteria across teams.
• Monitor progress, quality, delivery predictability, and provide executive updates.
• Support data platform modernization, migration, transformation, and cloud adoption initiatives.
• Collaborate with architects/engineers to assess options, impacts, and risks.
• Align with security, compliance, data quality, and governance requirements.
• Promote DataOps practices and automation to improve delivery processes.

Conhecimentos

Leadership

Agile

Stakeholder management

Data governance

Data coordination

Formação académica

Bachelor's degree

Ferramentas

Jira

Azure DevOps

Databricks

Descrição da oferta de emprego

DATA DELIVERY LEAD | CLOUD DATA PLATFORMS (HYBRID / REMOTE BRAZIL)

Brazilian company hires for hybrid or remote position.

Location: Brazil (any location).

Only candidates already based in Brazil will be considered.

Work Model: Hybrid for candidates living in state capitals and Remote for candidates living in countryside/cities outside the state capitals.

Language Requirements: Advanced English (C1/C2) for communication in an international environment.

Seniority: Senior (6+ years).

Lead the delivery of data initiatives that turn business priorities into results.

We are looking for an experienced Data Delivery Lead to drive strategic data and analytics initiatives from planning through delivery.

You will bring together engineering, architecture, quality assurance, and business teams, connecting technical execution with business goals. This is an opportunity to shape delivery practices, support cloud platform modernization and help global teams deliver reliable, well-governed data solutions.

What you will do

• Lead the end-to-end delivery of strategic data and analytics projects, programs, or products.
• Coordinate multidisciplinary teams across Data Engineering, Architecture, Quality Assurance, and business functions.
• Define and track roadmaps, delivery plans, timelines, milestones, and success criteria.
• Manage scope, risks, issues, blockers, and dependencies across teams, platforms, and initiatives.
• Ensure delivery meets agreed timelines, quality standards, and data governance requirements.
• Act as a key connection between technical teams, business stakeholders, and leadership.
• Facilitate decisions that align business priorities, architectural direction, and technical execution.
• Drive Agile delivery practices, including planning, backlog refinement, prioritization, and continuous improvement.
• Ensure teams have clear deliverables, dependencies, and acceptance criteria.
• Monitor progress, quality, delivery predictability, and outcomes, providing clear executive updates.
• Support data platform modernization, migration, transformation, and cloud adoption initiatives.
• Work with architects and engineers to assess technical options, impacts, and risks.
• Ensure alignment with security, compliance, data quality, and governance requirements.
• Strengthen collaboration across global teams and improve delivery processes through DataOps and automation.

What you bring

• A bachelor’s degree in Computer Science, Information Systems, Software Engineering, Computer Engineering, Mathematics, Statistics, Business Administration, or a related field.
• Advanced English proficiency (C1/C2), with the ability to communicate effectively in an international environment.
• Experience coordinating multidisciplinary teams across data engineering, architecture, quality, and business.
• Experience managing data projects, programs, or products throughout their full delivery lifecycle.
• Strong skills in roadmap planning, scope management, scheduling, and managing risks, blockers, and dependencies.
• Practical knowledge of modern data architectures, including Data Warehouses, Data Lakes, and Lakehouse platforms.
• Familiarity with cloud platforms and modern data technologies.
• Knowledge of ETL/ELT processes, data integration, and Data Engineering platforms.
• Experience with governance, quality, security, and controls throughout the data lifecycle.
• Experience with Agile, Scrum, or SAFe methodologies.
• Experience using delivery management tools such as Jira or Azure DevOps.
• The ability to connect business priorities, architecture decisions, and technical execution.
• Experience working with global delivery models and distributed teams.
• Strong leadership, organization, communication, and negotiation skills, with a focus on results.

Experience that will help you stand out

• Financial Services, including Banking, Wealth Management, Asset Management, FinTech, or Insurance.
• Data platform modernization, migration, and digital transformation projects.
• AWS or other cloud platforms.
• Snowflake, Databricks, or Apache Spark.
• Delivery experience involving Data Lakes, Data Warehouses, or Lakehouse architectures.
• DataOps practices.
• Data Governance and Data Quality frameworks and processes.
• Executive reporting and participation in governance forums.

Who would thrive in this role?

You are a delivery leader who brings clarity to complex data initiatives and helps multidisciplinary teams move forward with confidence. You can discuss technical dependencies with architects and engineers, negotiate priorities with business stakeholders, and give leadership a clear view of progress and risks.

You anticipate problems, make trade-offs visible, and take ownership of resolving blockers. You combine structured planning with adaptability, keeping teams focused on measurable outcomes, quality, and continuous improvement.

Does this sound like you?

• Have you led a data project, program, or product from initial planning through delivery? What outcomes did you achieve?
• How do you coordinate engineering, architecture, quality assurance, and business teams?
• How do you manage competing priorities, changing scope, and dependencies across teams?
• What is your experience delivering initiatives involving cloud platforms, Data Lakes, Data Warehouses, or Lakehouse architectures?
• How do you incorporate security, governance, and data quality requirements into delivery plans?
• Which metrics do you use to assess delivery progress, predictability, quality, and results?
• Can you describe a critical delivery blocker you resolved and how you managed stakeholder expectations?
• How have you applied Agile practices, Jira, or Azure DevOps to improve delivery?
• Are you comfortable leading discussions and presenting executive updates in English?
• Have you supported data platform modernization or worked in Financial Services?

Resume Keywords

Data Delivery Lead, Senior Data Delivery Lead, Data Delivery Management, End-to-End Delivery, Cloud Data Platforms, Data and Analytics, Project Management, Program Management, Data Product Delivery, Multidisciplinary Team Leadership, Data Engineering, Data Architecture, Quality Assurance, Roadmap Planning, Scope Management, Delivery Planning, Milestone Tracking, Risk Management, Issue Management, Dependency Management, Impediment Resolution, Stakeholder Management, Executive Reporting, Backlog Prioritization, Acceptance Criteria, Agile, Scrum, SAFe, Jira, Azure DevOps, Data Warehouse, Data Lake, Lakehouse, ETL, ELT, Data Integration, Data Governance, Data Quality, Data Security, Regulatory Compliance, Data Lifecycle Management, Cloud Adoption, AWS, Snowflake, Databricks, Apache Spark, DataOps, Automation, Data Platform Modernization, Data Migration, Digital Transformation, Global Delivery, Distributed Teams, Continuous Improvement, Delivery Predictability, Financial Services, Banking, Wealth Management, Asset Management, FinTech, Insurance, Advanced English

#EY BR