Own end-to-end delivery of data assets, ensuring secure, reliable, and timely availability of prioritized data for business use cases.
Lead data design, ingestion, and build processes while coordinating with stakeholders and ensuring compliance with governance standards.
Manage a technical build squad, document data transformations, and own data quality through monitoring and issue resolution.
CI&T helps large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience, they are 8,000 employees across 25 countries, collaborating to build solutions with real impact.
Manage the complete lifecycle of data products from ideation to deployment and optimization.
Define and prioritize data product roadmaps balancing business needs, technical feasibility, and stakeholder expectations.
Partner with cross-functional teams including Data Engineers, Data Scientists, and business stakeholders to deliver scalable solutions.
CI&T helps large enterprises harness AI to drive business impact, with 30 years of experience in technological transformation. The company is a global team of 8,000 professionals across 25 countries, fostering a collaborative and innovative culture.
You will create and implement data and AI governance policies, ensuring alignment with business objectives and regulations like LGPD and GDPR.
You will collaborate with architecture, engineering, legal, and security teams to embed governance practices throughout the data lifecycle.
You will monitor data quality, conduct audits, and drive continuous improvement of governance capabilities across the organization.
The partner company focuses on data and AI governance, ensuring safe, ethical, and compliant use of data across the organization. It offers a fully remote, flexible, and inclusive work environment that values ownership, collaboration, and continuous improvement.
Lead the development and operation of a scalable data governance and data security program across a modern data environment.
Establish practical standards for data classification, ownership, access, quality, and protection, working closely with Data Engineering, Security, Privacy, and Legal.
Shape responsible adoption of emerging analytics, AI, and agentic technologies while ensuring compliance with GDPR, CCPA, and other regulatory frameworks.
The company operates in the fintech or regulated financial services space, managing sensitive cross-border data across multiple regions. It is a growing, remote-first organization focused on security and compliance, with a culture that values data trust and operational maturity.
Lead data and AI strategy to strengthen organizational effectiveness and mission impact.
Collaborate cross-functionally with leaders across programs, operations, and IT to drive technology adoption.
Prioritize high-value initiatives, improve data-informed decision-making, and promote responsible AI practices.
This organization is a mission-driven entity focused on addressing climate and energy challenges through technology and innovation. It operates as a globally distributed team with a collaborative culture.
Design, implement, and maintain end-to-end data pipelines (ELT/ETL) with focus on reliability, reprocessing, and cost-efficiency.
Orchestrate data loads using Airflow (AWS) and serverless functions, model data in Snowflake (bronze/silver/gold) and develop transformations with dbt.
Build integrations and services in Python with FastAPI, write high-performance SQL, and ensure data quality, observability, security, and documentation.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across over 25 countries, they collaborate to build solutions with real impact.
Define and communicate the long-term data architecture vision, aligning with business strategy.
Lead migration of data pipelines to Microsoft Fabric, ensuring reliable data for business consumption.
Mentor team members and explain complex data concepts to diverse stakeholders.
CI&T helps large enterprises transform the potential of AI into real business impact. With 30 years of experience, they are 8,000 employees across more than 25 countries, collaborating to build solutions with real impact.
Conduct in-depth assessment of existing data architecture and operational model, identifying improvement opportunities on GCP.
Map the complete data flow from operational/CRM sources to ingestion, transformation, governance, and delivery to analytical products.
Design an integrated future data architecture ensuring interoperability between Salesforce Data Cloud and the cloud/Lakehouse analytical environment.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25+ countries, they accelerate innovation through agentic SDLC, application modernization, Data & AI, martech, and business strategy.
Design, develop, validate, and evolve analytical and predictive models for pattern detection, anomaly identification, and risk classification.
Operationalize AI solutions for automation of recurring analyses, detection of deviations, and evaluation of large volumes of structured and unstructured data.
Participate in the full model lifecycle from data exploration to deployment, monitoring, and evolution in production environments.
CI&T helps large companies transform AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25 countries, they foster a culture of continuous learning and innovation.
Design, develop, and maintain scalable data pipelines and infrastructure.
Collaborate with cross-functional teams to ensure data integrity and usability.
Implement data quality and governance practices within data pipelines.
We help large enterprises transform with AI and tech-integrated solutions. With 8,000 employees across 25+ countries, we collaborate to build solutions with real impact.
Leads cross-functional engagements and ensures cohesive delivery across competencies.
Uncovers data use cases aligned with marketing objectives and conducts data strategy programming, including KPI setting and roadmapping.
Advises on data advancement, including warehousing, modeling, and BI, while overseeing Data Strategy team members.
Bounteous is a global AI services firm where agentic engineering and human experience converge to deliver business outcomes. With more than 5,000 team members worldwide, Bounteous is backed by New Mountain Capital and focused on AI adoption and transformation.
Design and manage end-to-end data infrastructure including databases, Data Warehouses, Data Lakes, and Medallion Architecture.
Lead technical migration strategy from legacy systems to cloud platforms, ensuring smooth transition.
Translate business requirements into technical specifications, establish data models and governance policies.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25 countries, they collaborate to build solutions with real impact.
Lead the development of CATF's data and AI strategy to enhance organizational impact.
Partner with cross-functional teams to identify and implement data-driven solutions.
Drive adoption of responsible AI practices and strengthen data-informed decision-making.
Clean Air Task Force (CATF) is a global nonprofit organization working to accelerate low-carbon energy and climate-protecting technologies. With 30 years of expertise and a pragmatic culture, the organization has offices in the US and Europe and staff working virtually worldwide.
Own the evolution of a modern data ecosystem spanning data platforms, third-party integrations, metrics, and end-user data capabilities.
Lead product strategy and execution for the data platform, balancing hands-on data understanding with strong product judgment and executive alignment.
Define and govern business metrics and data models, resolving competing definitions and creating trusted sources of truth across teams.
Our partner is a mission-driven company focused on improving access to and delivery of mental healthcare. They offer a collaborative, fast-paced startup environment with a supportive culture that prioritizes employee well-being, growth, inclusion, and belonging.
Drive the strategic direction of the Data & Analytics organization, developing and scaling internal capabilities in data engineering, analytics, and governance.
Partner with senior leadership to translate vision into staffing plans, delivery roadmaps, and quarterly priorities.
Build and manage a high-performing team, establish data governance standards, and drive adoption of AI-assisted tooling to accelerate delivery.
RPM Living is a property management company that focuses on delivering exceptional customer experiences through technology innovation. They have a large, growing team and value data-driven decision-making, offering comprehensive benefits and professional development opportunities.
Design and optimize scalable data platforms, pipelines, and governance frameworks.
Lead data strategy and collaborate with leadership, engineering, and AI teams.
Mentor engineers and drive platform modernization with an AI-forward mindset.
Robots & Pencils is an applied AI engineering firm building AI co-workers for enterprise operations. Founded in 2009 with delivery centers in Canada, US, Eastern Europe, and Latin America, the company is a nimble alternative to traditional system integrators with teams averaging 15+ years of experience.
Lead the development and evolution of data governance frameworks and stewardship practices across the organization.
Partner with stakeholders across Data Strategy, Technology, Security, Legal, and Compliance to strengthen data quality and governance.
Balance strategic thinking with hands-on execution to promote data literacy, accountability, and continuous improvement.
The company is a data-intensive organization operating in the insurance industry. It prioritizes data governance and stewardship with a collaborative, respectful, and solution-oriented culture.
Design, optimize, and maintain robust and scalable data pipelines on AWS cloud.
Plan and execute migration of systems and data volumes to new cloud infrastructure.
Collaborate with multidisciplinary teams to implement efficient data solutions and ensure data governance.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25+ countries, they collaborate to build solutions with real impact.
Lead the development and maturation of a large-scale healthcare data governance program, providing strategic direction across policy, privacy, and analytics.
Develop governance frameworks, policies, and standards while aligning diverse stakeholders around responsible data use in complex healthcare environments.
Engage with clinical, technical, and government leaders to drive system-level transformation and improve data quality, accountability, and privacy.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities. It processes applications and shares shortlists with hiring companies, ensuring efficiency and privacy compliance.