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Overview
Mid-Level

Anaplan EPM Data Architect

Confirmed live in the last 24 hours

Superbet

Superbet

Romania
On-site
Posted April 17, 2026

Job Description

It’s an exciting time to join us! We’re entering new markets, developing new technologies, and moving step by step towards our goal of exciting the world. As our business grows, the number of exciting people initiatives grows with it, and we’re looking for a new colleague to partner with our team to bring these to life.

As the Enterprise Performance Management (EPM) Data Architect, you will be part of the Finance Transformation team that has overall responsibility for defining and overseeing the Finance Transformation Roadmap. The Finance Transformation team are a new addition to the Finance
vertical and it is important for the successful candidate to help the Head of Finance Transformation continue to build the credibility and value proposition of a Transformation team. So, a “can do” attitude and “willingness to get hands dirty” will be a prerequisite for success in the Role.
As the Data Architect you will be a specialist in designing and optimizing data architectures for Enterprise Performance Management (EPM) systems, with proven expertise in Anaplan and Tagetik. Based in Romania, you will play a key role in enhancing our consolidation, financial planning, budgeting, forecasting, and reporting processes. This position requires a deep understanding of financial data flows, integration strategies, and best practices in EPM to support data-driven decision-making across the organization.

What you will be doing :

Data Architecture

  • Design, develop, and maintain robust data models and architectures within EPM platforms to support financial planning, consolidation, and performance management.
  • Collaborate with finance, IT, and business stakeholders to gather requirements, translate them into technical specifications, and implement scalable EPM solutions.
  • Integrate data from diverse sources (e.g., ERP systems like D365 F&O and Microsoft BC, databases, and external APIs) into EPM tools, ensuring seamless data flow and integrity.
  • Optimize data structures for performance, scalability, and security, including implementing data governance policies and compliance with financial regulations (e.g., IFRS, GAAP).
  • Conduct data analysis, troubleshooting, and performance tuning to resolve issues in EPM environments.
  • Provide training and support to end-users in finance teams on EPM tools and best practices.
  • Stay updated on emerging trends in EPM technologies and recommend improvements to enhance efficiency and accuracy in financial reporting.
  • Ensure all solutions align with organizational goals, focusing on cost optimization and risk management.

Risk Management:

  • Identify, assess, and mitigate potential risks in the implementation.
  • Develop contingency plans to address potential issues and minimize impact.
  • Monitor risk levels and escalate critical issues as needed.

Stakeholder Management:

  • Build and maintain strong relationships with key stakeholders across different departments.
  • Communicate effectively to ensure alignment over the project life cycle.
  • Address concerns and manage stakeholder expectations throughout the project.

We are looking for someone who :

  • Has a Bachelor's or Master’s degree in computer science, Information Technology, Finance, Accounting, or a related field.
  • Has 5+ years of professional experience in finance-related roles, with a focus on EPM systems, data architecture, or financial analytics. Ideally Anaplan and Tagetik Taxation module.
  • Has hands-on experience working in the finance industry, such as in FP&A (Financial Planning & Analysis), corporate finance, or financial consulting.
  • Has proven track record of successful EPM implementations in multinational or complex organizational settings.
  • Has extensive experience in enterprise data architecture, strategy, and implementation.
  • Has strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable.
  • Has in-depth knowledge of data modelling, data
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