Data Practice Architect - Latam

Rad Hires; Teletrabalho; BRL 537.000 - 807.000; Tempo integral

Resumo da oferta

A consulting firm seeks a Data Practice Architect to build a data practice from the ground up. This role demands extensive experience in data engineering and architecture, with responsibilities including designing service models and partnering with leadership on data delivery. Ideal candidates will have 10+ years of experience in a consulting environment and exhibit strong communication skills. This opportunity offers flexibility and autonomy while shaping a foundational data strategy.

Serviços

Full autonomy and flexibility

Long-term growth potential

High influence and visibility

Qualificações

• 10+ years of experience leading or delivering data engineering, data architecture, analytics, or governance initiatives.
• Previous experience working for a consulting organization.
• Strong executive-level communication skills.

Responsabilidades

• Design and define the Data Services practice model.
• Build frameworks for data architecture and governance.
• Partner with AI and engineering leaders for data engagement.

Conhecimentos

Data engineering

Data architecture

Analytics

Governance initiatives

Executive communication

Consulting mindset

Fluent English

Descrição da oferta de emprego

Data Practice Architect (Contract)

Remote | LATAM, US, Canada

Contract Duration: 3–6 months

Estimated Workload: 15–30 hours / week

Time Zone: US Central (flexible, outcome-based)

About the Role

Our client is building a modern Data Services Practice to complement and strengthen a fast-growing AI portfolio, while also supporting broader software development and digital transformation engagements.

• This is a foundational role focused on building a data practice from the ground up, not theorizing about it.
• Think of this role as designing and operationalizing the data foundation beneath the AI skyscraper.
• This is not an academic or purely advisory role.
• It combines strategy, design, and execution with a strong bias toward outcomes.

What You'll Do

• Design and define the Data Services practice model including service offerings, delivery frameworks, and go‑to‑market approach.
• Build practical frameworks and accelerators for data architecture, data governance, data readiness, and data quality and reliability.
• Partner closely with AI and engineering leaders to ensure data underpins all AI and digital engagements.
• Support pre‑sales and early client engagements with high‑impact advisory and solution design.
• Advise on hiring profiles, team structure, and future evolution of the data practice.
• Help transition the organization from reliance on external partners to a self‑sustaining internal data capability.

Non‑Negotiable Requirements

• Previous experience working for a consulting organization (mid‑size or global).
• Proven experience building or scaling a data practice, service offering, or consulting capability.
• 10+ years of experience leading or delivering data engineering, data architecture, analytics, or governance initiatives.
• Ability to operate both strategically and hands‑on.
• Strong executive‑level communication skills, with the ability to simplify complex data concepts.
• Fluent English and comfort working with stakeholders aligned to US Central Time.

What You Bring

• Deep understanding of modern data platforms and how they enable AI / ML and advanced analytics.
• Strong consulting mindset with experience creating reusable frameworks, accelerators, or IP.
• Comfort working in ambiguous, build‑from‑scratch environments.
• A pragmatic, delivery‑focused approach—outcomes over theory.
• Ability to work independently and own the evolution of a practice.

Note: There is no fixed technology stack. Tooling will be defined as the practice is built.

Why This Opportunity

• Foundational role with high influence and visibility.
• Opportunity to design and shape a data practice from day one.
• Work with senior AI, engineering, and executive leadership.
• Full autonomy and flexibility—trusted consultant model.
• Long‑term growth potential as the practice scales.