Head of Data Management

Worldwide | Sept. 1, 2026

Report as Closed

Company: Rankmi

Country: Worldwide

Type: Remote

Employment: Full-time

Description: We are the platform that brings together all HR processes in one place—from Payroll, Talent, and Benefits to Communication. Everything has been redesigned and powered by Artificial Intelligence.

We are the platform that brings together all People Management processes—from Payroll, Talent, and Benefits to Communication—in one place. Everything has been redesigned and powered by Artificial Intelligence. 

Job Mission

• You will be responsible for leading and developing Rankmi’s business operations in Chile, ensuring sustained business growth, customer satisfaction, and the achievement of the company’s strategic objectives, alongside a world-class team!

Education

• Degree in Civil Engineering, Data Engineering, Computer Engineering, or a related field.
• A graduate degree in Data Management, Data Architecture, Analytics, Technology, or an MBA is preferred.

Experience

• At least 6 years of experience in data, analytics, platforms, or technology solutions development.
• At least 3 years leading teams or cross-functional initiatives, ideally at SaaS or technology-based companies.
• Demonstrable experience designing, building, and maintaining data architectures, platforms, and integrations.
• Experience managing internal and external stakeholders and operating critical solutions.

We are the platform that unifies all People Management processes—from Payroll, Talent, and Benefits to Communication—in one place. Everything has been redesigned and enhanced with Artificial Intelligence.

Job Mission

• Define and lead the strategy, roadmap, and operation of Rankmi’s data ecosystem, ensuring a scalable, secure, and reliable architecture that enables products, integrations, and decision-making across the company. Provide technical and operational leadership for the department’s solutions and the Data team, integrating architecture, data ingestion, modeling, transformation, publication, and utilization for clients and internal teams. Coordinate cross-functional integration projects between products, internal departments, and clients; drive data governance, availability, and stability; and align the department’s evolution with the strategic priorities of Product and the company.

• Strategy and Leadership: Define the strategy, roadmap, and backlog for Rankmi’s data ecosystem, leading and developing the Data team with a focus on autonomy and technical excellence.
• Architecture and Infrastructure: Design and maintain a scalable, secure, and high-performance data architecture, optimizing pipelines and reducing technical debt through automation.
• Governance and Quality: Ensure governance, traceability, and availability of information by establishing standards and best practices for the entire data lifecycle.
• Collaboration and Product: Work closely with Product, Technology, and clients to enable reliable data solutions that drive decision-making and address strategic needs.
• Operations Management: Monitor and optimize platform performance metrics, ensuring the stability and efficiency of data products and cross-functional integrations.

We know that high performance requires a good work-life balance. That’s why we’ve designed a value proposition that takes care of you and your loved ones:

• 🤸 Work-Life Balance: Hybrid work model, flexible hours (we trust you to be responsible), additional vacation days to unplug, and a day off for moving.
• 💖 We Care: Half a day off on your birthday, your children’s birthdays, or your spouse’s birthday. Additional paternity leave for dads. Bonuses for marriage/civil union, childbirth, and a referral program. Plus, we know your pets are part of the family too, so we’ll give you a day off if they pass away.
• ✨ Rankmi Vibes: Forget about corporate suits—we have a relaxed dress code, a multicultural environment, and we work with agile methodologies in multidisciplinary teams.

If you’re a lifelong learner, thrive on dynamism, and want to challenge the status quo in HR Tech, we want to meet you! 🚀

• Solid knowledge of data architecture, modeling, integration, governance, and data quality.
• Proficiency in Python and SQL.
• Experience with data lakes, data warehouses, pipelines, and distributed or cloud architectures.
• Experience with agile methodologies

  Apply here:

  Web: Apply here

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