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(Eg0055) Data & Ai Practice Lead

Nortal

Latin America - Remote
Dados IA

Score da Vaga

90 pontos
Modelo presencial (+70) Dados (+10) IA (+10)

JoinNortalfor your next big adventure. We areseeking a Data & AI Practice Lead to join our team, grow with us, and teach us a few things along the way. 

Explore the Nortal experience! 

  • Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management. 
  • Say goodbye to micromanagement! We champion autonomy, open communication, and respect for diversity as our core values. 
  • Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins. 

Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best. 

Ready to grow with us? 🚀 

Here’s what we offer you by joining us!  

  • Competitive USD salary – We value your skills and contributions! 
  • 100% remote work – While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM!  
  • Paid time off – Take the time you need according to your country’s regulations, all while receiving your full salary. Rest, recharge, and come back stronger!  
  • National Holidays celebrated – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture. 
  • Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better. 
  • Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance! 
  • Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nortal family and feel part of our vibrant community. 
  • Birthday day off – Enjoy an extra day off during your birthday week to celebrate in style with friends and family! 

About the project: 

At Nortal, we know great talent doesn’t wait for job openings. That’s why we’re building a community of passionate professionals for future opportunities. 

These proactive searches align with the profiles our trusted clients seek regularly. Join our "Future Talent" network to be among the first considered when the right opportunity arises. 

With over 160 new hires every year, we are constantly expanding our team with passionate and skilled professionals who want to make an impact. 

As a Data & AI Practice Lead, you will help shape, grow, and strengthen Nearsure’s Data & AI capabilities. 

This is a hybrid leadership role for a senior generalist who can move comfortably across both Data and AI domains. The ideal candidate is not expected to be the deepest expert in every tool or technology, but should have the technical judgment, business understanding, communication skills, and strategic mindset needed to connect client needs with valuable Data & AI solutions. 

The role combines partial dedication to the Data & AI Studio with partial billable work in client accounts. This balance is important to ensure the Practice Lead remains close to real client challenges, delivery realities, market needs, and emerging opportunities.  

How your day-to-day work will look like: 

  • Lead and Evolve the Data & AI Practice. 
  • Help define the strategic focus areas for the Data & AI Studio. 
  • Identify market trends, emerging technologies, and new opportunities in Data, Analytics, Automation, and AI. 
  • Translate trends and business needs into clear service offerings, internal capabilities, and go-to-market initiatives. 
  • Help formalize new Data & AI offerings so they can be prepared, positioned, and promoted by the Marketing and Growth teams. 
  • Promote best practices across the organization regarding the responsible, practical, and value-driven use of Data & AI. 
  • Support Growth, Pre-Sales, and Account Expansion. 
  • Support Growth initiatives focused on both new logos and account expansion. 
  • Participate in client conversations to understand business needs, pain points, and opportunities. 
  • Present Nearsure’s Data & AI capabilities to clients and prospects in a clear, confident, and business-oriented way. 
  • Help identify the right technical profiles, skills, and delivery teams needed for new opportunities. 
  • Work closely with technical specialists to support proposals, solution definitions, RFP/RFI responses, and technical recommendations. 
  • Help shape solutions that are realistic, valuable, scalable, and aligned with client goals. 
  • Drive Internal AI Adoption. 
  • Research and promote the use of AI within Nortal to improve internal processes and operational efficiency. 
  • Identify opportunities to apply AI agents, automation, content generation, knowledge management, and productivity tools across the organization. 
  • Collaborate with internal teams to design and test practical AI use cases. 
  • Help create internal examples, playbooks, and reusable assets that accelerate AI adoption. 
  • Stay Connected to Delivery. 
  • Participate in billable client work as part of the role’s partial dedication. 
  • Contribute to client projects where Data & AI expertise, discovery, advisory, solution definition, or hands-on guidance is needed. 
  • Use real client delivery experience to continuously improve the Studio’s offerings, positioning, and internal capabilities. 
  • Support Delivery teams when specific Data & AI expertise is required. 
  • Support Talent, Recruiting, and Community Enablement. 
  • Support Recruiting when hiring for Data & AI-related roles by helping define requirements, validate profiles, and assess technical fit when needed. 
  • Support Delivery teams in evaluating bench profiles against new opportunities related to the Studio. 
  • Contribute to the development of specialists through knowledge sharing, mentoring, and specific career development initiatives. 
  • Share insights with the internal community through talks, sessions, documentation, and other enablement activities. 
  • Collaborate with specialists, delivery leaders, growth teams, marketing teams, and internal stakeholders. 

This would make you the ideal candidate: 

  • Bachelor's Degree in Computer Science, Engineering, or a related field. 
  • 8+ Years of professional experience in technology consulting, with a proven track record supporting pre-sales, discovery conversations, solution design, and technical proposals for enterprise clients. 
  • 6+ Years of experience architecting and managing scalable enterprise data solutions, including corporate data warehousing, data lakes, and lakehouse architectures. 
  • 2+ Years of hands-on experience designing, implementing, and scaling Enterprise Generative AI solutions and Large Language Models (LLMs) via Azure AI, OpenAI, or Claude. 
  • Strong business acumen with the ability to translate complex client needs into high-value Data & AI opportunities. 
  • Strategic thinker capable of prioritizing practice efforts, managing stakeholder alignment, and working effectively across commercial, delivery, recruiting, and leadership teams. 
  • A hands-on leadership mindset, maintaining a strong willingness to remain actively connected to client delivery and execution. 
  • Practical experience implementing and driving adoption of modern data environments such as Microsoft Fabric or Databricks. 
  • Strong background in data integration pipelines, robust reporting, and advanced Business Intelligence (BI) utilizing Power BI or Tableau. 
  • Proven expertise building production-ready virtual agents, custom copilots, and autonomous AI agents using tools like Microsoft Copilot Studio, Azure OpenAI, or Azure AI Studio. 
  • Deep understanding of AI-driven automation, agentic workflows, and productivity use cases that tangibly transform business operations. 
  • Strategic and technical mastery of cloud data and AI ecosystems across major hyperscalers (Azure, AWS, or Google Cloud). 
  • Solid experience establishing Data Governance, Responsible AI frameworks, and compliance best practices to ensure safe, ethical enterprise adoption. 
  • Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons. 

What to expect from our Talent Connection process: 

  • Sign up: Apply to this position and upload your resume. 
  • Profile review: Our team will review your profile and keep it in our talent database. 
  • Contact: Our team will contact you to have an interview to get to know you better and to share with you a bit more of what we are looking for.  
  • Knowing you better: We'd love to discuss your experience in an interview with our recruiters.   
  • Notification: When a suitable position opens, we’ll contact you to start the selection process, having in mind that this process will be faster because we already had the first screening. 
  • Transparency: This process is direct and without intermediaries. 

🎯 For over 25 years, we’ve been shaping digital transformation, delivering complex solutions for global enterprises and public sector organizations. Today, we are at the forefront of an AI-driven transformation era, helping organizations turn data into real business value. By combining deep domain expertise with data and AI, we design solutions that create immediate impact while scaling for the future.    
 
We believe complexity doesn’t have to mean complicated, and that the best solutions are those that work in the real world, not just on paper. That’s why our clients trust us with their most ambitious, business-critical initiatives.  

We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.  

Let’s work together to shape the future of technology!  

🧑💻 Apply now! 

By applying to this position, you authorize Nortal to collect, store, transfer, and process your personal data in accordance with our Privacy Policy. For more information, please review our Privacy Policy.

Sobre a área de Dados

A área de Dados passou por uma transformação radical com a ascensão da Inteligência Artificial Generativa. Profissionais de dados são fundamentais para tomada de decisão baseada em evidências em todas as indústrias.

As principais especializações incluem Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering e Analytics. Ferramentas como SQL, Python, Spark, dbt e plataformas de cloud (AWS, GCP, Azure) são essenciais.

O mercado de dados continua com alta demanda e salários entre os mais competitivos do setor de tecnologia, com muitas oportunidades para trabalho remoto.

Sobre a área de Inteligência Artificial

A área de Inteligência Artificial é atualmente a que mais cresce no mercado de tecnologia. A revolução dos modelos generativos (GPT, Claude, Gemini) criou uma demanda massiva por profissionais especializados em IA.

As principais áreas de atuação incluem Machine Learning Engineering, MLOps, Prompt Engineering, AI Research e Applied AI. Python, TensorFlow, PyTorch e conhecimento de LLMs são skills essenciais.

Salários na área de IA são os mais altos do setor de tecnologia, com muitas oportunidades de trabalho remoto para empresas internacionais.

Dica do Especialista

Oportunidades e Tendências no Mercado de Design para 2026

Se a última década no design digital foi marcada pela padronização das interfaces mobile e pela ascensão do UX/UI como o coração do desenvolvimento de produtos, o ano de 2026 representa o início de uma nova era. Não estamos mais desenhando apenas para telas planas de vidro; estamos projetando para ecossistemas inteligentes, ambientes tridimensionais e algoritmos autônomos.

Para os designers que buscam se destacar e conquistar as melhores oportunidades remotas e em moedas fortes, compreender para onde o mercado está caminhando não é um diferencial, é uma questão de sobrevivência profissional. Abaixo, detalhamos as quatro grandes tendências que ditarão as contratações no mercado de design em 2026.

1. Design Generativo e a IA como Co-piloto (Não como Substituta)

O medo de que a Inteligência Artificial substituiria os designers ficou no passado. Em 2026, a IA generativa está profundamente integrada em ferramentas como Figma, Adobe e Framer. A habilidade mais valorizada pelas empresas não é mais a velocidade em alinhar pixels, mas sim a direção de arte algorítmica e o prompt design.

  • Automação de UI: Criação de wireframes, variações de componentes e design systems complexos serão gerados com poucos comandos de texto.
  • O Novo Papel do Designer: O profissional deixa de ser o executor operacional e passa a ser o curador e estrategista, garantindo que o que a IA gera está alinhado com a psicologia do usuário e os objetivos de negócios.

2. Spatial Design e a Computação Espacial

Com a maturação de dispositivos de realidade mista (como o Apple Vision Pro e as linhas avançadas da Meta), o Spatial Design (Design Espacial) deixou de ser um nicho experimental para se tornar um departamento obrigatório nas grandes empresas de tecnologia.

Projetar para a computação espacial exige uma quebra de paradigma: os designers precisam entender de profundidade, ergonomia visual, som espacial e interações baseadas no rastreamento ocular e gestual. As vagas para AR/VR Product Designers e 3D Interaction Designers estão vendo um salto exponencial nas ofertas com salários premium no exterior.

3. Design de Conversação e Interfaces Invisíveis (Zero-UI)

Com a onipresença dos Large Language Models (LLMs), a forma como os usuários interagem com os sistemas mudou. Em 2026, muitas interfaces não têm botões ou menus; elas são conversacionais. O UX Writing e o Conversation Design ganharam status de protagonismo.

  • Desafio: Como desenhar a "personalidade" e o fluxo de um assistente virtual para que ele não pareça um robô engessado?
  • Oportunidade: Designers que sabem mapear árvores de decisão, criar fluxos lógicos para voz e texto, e treinar a empatia da inteligência artificial estão sendo disputados a peso de ouro pelas startups.

4. Sustentabilidade Digital e Eco-Design

A pauta ESG (Ambiental, Social e Governança) invadiu as mesas de produto. A internet consome uma quantidade massiva de energia, e em 2026, empresas estão sendo cobradas por sua pegada de carbono digital.

Surge a demanda pelo Eco-Design Digital. Isso envolve criar interfaces mais leves, otimizar fluxos de usuário para reduzir o tempo de tela (e, consequentemente, o gasto de bateria e processamento do servidor), e adotar paletas de cores e assets (como SVGs no lugar de imagens pesadas) que exigem menos energia dos dispositivos. Ser um designer sustentável tornou-se um argumento de venda B2B fortíssimo.

Conclusão: A Evolução do Talento

O mercado de design em 2026 é altamente recompensador para quem abraça a complexidade. A barreira de entrada para criar telas bonitas caiu, mas a demanda por profissionais que resolvem problemas de negócios através de empatia, estratégia e domínio de novas tecnologias nunca esteve tão alta.

Se você quer estar à frente dessa onda e ter acesso às vagas que já estão buscando essas habilidades específicas, acompanhe a curadoria diária da Mondywork. O futuro do design é híbrido, remoto e cheio de oportunidades.