🌍 About Keyrus

Keyrus is a global consulting and technology company focused on making data matter — truly matter — from a human perspective.

Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with more than 3,300 people worldwide. Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities.

Data is never the goal in itself.
We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions.

At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.

#OneTeamOneKeyrus

🎯 The Role

As a Data Manager, you will work at the intersection of data, technology, and business, ensuring that data is accurate, reliable, and aligned with business needs throughout the deployment of an e‑procurement platform (Pwise).

You will act as both a team lead and hands‑on data expert, supervising Data Stewards while actively contributing to data validation, governance, and process optimisation. Your role will be key in enabling high‑quality data that supports operational processes and business decision‑making.

📍 Job location: Lisbon, Portugal (Hybrid – 3 days/week on-site)
🕒 Contract type: Employee
🗓 Target start date: June 2026
⏰ Working hours: Full-time (40h/week)
💵 Compensation: €35,000 – €42,000 gross per year

Note: All applications (CVs) must be submitted in English..

💥 Your Impact

In this role, you will:

• Lead and support a team of Data Stewards, ensuring high standards in data collection and validation

• Collaborate with upstream design and business teams to understand expected data processing flows and business logic.

• Ensure data quality, consistency, and governance across systems and processes

• Actively participate in data collection, validation, and reconciliation activities when needed

• Detect data issues early, assess risks, and coordinate corrective actions with stakeholders

• Validate datasets before and after ETL processes, feeding data warehouses and BI tools

• Run ETLs, Python scripts (via Dataiku), and Excel-based validations

• Ensure reliability of key business entities across systems and alignment with governance standards

• Support the deployment of the Pwise e‑procurement platform by preparing and validating procurement data

• Deliver analysis-ready datasets for reporting and business analytics use cases

• Propose and implement process improvements to enhance data quality, automation, and efficiency

• Promote a data quality culture across teams and stakeholders

⚡ What Makes This Role Challenging

• You will work in a complex enterprise data environment with multiple dependencies

• You must ensure high data quality under tight project timelines

• You will balance leadership responsibilities with hands-on execution

• You will interact with diverse stakeholders requiring clear communication and alignment

• Data accuracy is critical, with a direct impact on business operations and analytics

👤 What We’re Looking For

Must-haves

• Proven experience in data management, data quality, or data governance roles

• Strong understanding of data quality principles and their system-wide impact (e.g., differences such as 1234 vs. 01234).

• Ability to interpret and navigate data models (structures, relationships, constraints)

• Hands-on experience with ETL processes, data validation, and reconciliation

• Experience working with Excel, ETL tools, and data platforms (e.g., Dataiku, Python scripting)

• High level of rigour, precision, and ability to conduct thorough data checks.

• Experience working within large organisations, with an understanding of dependencies, risks, deadlines, and cross-team coordination.

• Ability to communicate effectively with both technical and non-technical stakeholders

• Dynamic, proactive, and communicative mindset, comfortable engaging with users to understand issues and propose solutions.

• Fluency in French (spoken and written) for complex interactions with business stakeholders.

• Fluency in English

• Must be a Portuguese or European citizen, or hold a valid work permit for Portugal

Nice-to-haves

• Experience in consulting environments

• Exposure to data governance frameworks and enterprise data models

• Experience working on procurement or ERP-related data projects

• Familiarity with data quality tooling or automation approaches

💰 How Our Salary Ranges Work

At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.

• Bottom of the range
  You meet the core requirements and will need ramp-up time and support.

• Middle of the range
  You are fully autonomous from Day 1 and deliver consistently.

• Top of the range
  You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.

🎁 What We Offer at Keyrus Portugal

• Competitive salary aligned with your experience and the data market

• Meal allowance: €10.20/day

• Flexible benefits plan

• Private medical insurance

• 22 days of annual leave, increasing every 3 years (up to 25 days)

• Continuous learning via KLX – Keyrus Learning Experience

• A collaborative, international, and human-centred work environment

💙 Why Keyrus?

Joining Keyrus means joining:

• A market leader in Data Intelligence

• A company where people, trust, and diversity are core values

• An environment that values ownership, flexibility, and innovation

• A place where different backgrounds and perspectives are not just welcomed = they are essential

We believe diversity drives better thinking, stronger teams, and better outcomes.
Everyone belongs at Keyrus.

♿ Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.