Description
Summary:
Seeking a Data Manager to lead Data Stewards, ensuring data quality, governance, and process optimization within an e-procurement platform deployment.
Highlights:
1. Lead and support a team of Data Stewards
2. Ensure data quality, consistency, and governance across systems
3. Contribute to sustainability, inclusion, and positive societal impact
**About Keyrus**
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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**
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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**
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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**
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* 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**
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### **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**
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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**
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* 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?**
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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**
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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.