The Data & Analytics Manager will oversee the entire lifecycle of data products, from ideation and development to deployment and optimization. This role requires technical expertise, strategic thinking, and leadership skills to drive the successful execution of data-driven initiatives

During career evolution, ideally, this person has acquired experience with different clients which would help to develop expertise in at least two areas (Data Engineering, Data Analytics, Data Science, AI).

Moreover, this person is contributing to the contract and sharing experience across teams and the data community (data community, AI, ESG Groups). Moreover, start identifying opportunities to expand the data operation inside the client and work closely with senior leadership to convert it.

Managing the complete Data Lifecycle, from where data is generated to ETL pipelines and data enablement.

Data Best Practices: Understand the data best practices such as Governance, Modeling, Quality, Security & Privacy, Integration, Accessibility, Analytics, Backup & Recovery

Data Architecture & Infrastructure: understanding the technical architecture/infrastructure that supports the organization's data needs, including storage, integrations, and analytics platforms.

Task Prioritization: working with technical and business teams to understand their data needs and priorities and effectively communicate the value of data initiatives. Prioritizing tasks and defining the roadmap, balancing competing demands from different stakeholders.

Data Profiling: understanding the data types, relationships, patterns, and trends to understand the data better.

Requirements Definition: collaborate with internal and external stakeholders to understand and document data requirements, ensuring they are clear, specific, and achievable, as well as how the data should be presented to consumption.

Business Process: understand the business workflows so appropriate assumptions can be made regarding sources, entities, and attributes to answer business questions.

Validation: validating the product with users to ensure it meets their needs and expectations, using data and metrics to inform decisions.

Performance Analysis: monitoring and analyzing product performance, using metrics and KPIs to assess success and metrics to track the effectiveness of data initiatives and investments, and using data-driven insights to drive continuous improvement.

Powered by AI: support incorporating AI in the team workflow to speed up performance.

Team Leadership: leading cross-functional teams, including data scientists, engineers, and analytics specialists, to develop and deliver high-quality data products. Attracting, retaining, and developing top data talents. Mentoring, training, and pursuing growth opportunities to build motivated teams.

- Excellent level of English communication (reading, writing and speaking)

- Experience working with international clients

- Previous experience in Data Platform and Data Visualization

- Previous experience in project management

- Strategic Thinking, Product Mindset

- Experience with value-based Prioritization and  Risk Management

- Experience with Team Leadership

- Experience with Azure cloud platform and Databricks

- Experience with MS Purview

- Experience with project management tools

- Experience with NLP

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CI&T is an equal-opportunity employer. We celebrate and appreciate the diversity of our CI&Ters’ identities and lived experiences. We are committed to building, promoting, and retaining a diverse, inclusive, and equitable company and culture focused on creating a better tomorrow. At CI&T, we recognize that innovation and transformation only happen in diverse, inclusive, and safe work environments. Our teams are most impactful when people from all backgrounds and experiences collaborate to share, create, and hear ideas. Before applying for our opportunities take a look at Conflict of Interest Policy on website. We strongly encourage candidates from diverse and underrepresented communities to apply for our vacancies.

At CI&T, we recognize that innovation and transformation only happen in diverse, inclusive, and safe work environments. Our teams are most impactful when people from all backgrounds and experiences collaborate to share, create, and hear ideas.

Before applying for our opportunities take a look at Conflict of Interest Policy on website.