Andersen is hiring a Senior Data Architect for a project designing scalable data architecture and supporting secure AI transformation in the healthcare sector.
The customer is a global consulting and advisory firm that helps organizations improve business performance, navigate complex operational challenges, and support strategic transformation. It provides expertise across business strategy, operational improvement, risk management, and organizational change, working with clients from multiple industries through data-driven insights and multidisciplinary consulting services.
The project is focused on designing a scalable enterprise data architecture to support a large-scale healthcare AI transformation. It includes assessing the existing data landscape, defining future-state data architecture, and developing governance, integration, and modernization roadmaps to enable AI and advanced analytics.
Responsibilities:
- Assessing enterprise data landscape across financial, operational, inventory, and ERP systems.
- Identifying trusted data challenges, reporting inconsistencies, and data silo issues resulting from acquisitions.
- Defining future-state enterprise data strategy supporting ERP modernization and AI initiatives.
- Establishing recommendations for centralized enterprise data platforms.
- Designing integration architecture supporting multiple ERP environments.
- Defining master data management strategy across enterprise financial and operational domains.
- Developing enterprise ETL/ELT and data consolidation approaches.
- Recommending semantic and business data models supporting analytics and decision-making.
- Defining data governance operating model.
- Establishing metadata, lineage, master data, and data quality recommendations.
- Supporting trusted reporting and enterprise visibility requirements.
- Defining enterprise standards for financial and operational reporting consistency.
- Assessing enterprise data readiness for AI adoption.
- Developing recommendations for AI-ready data architecture.
- Evaluating opportunities for centralized data platform approaches supporting future AI capabilities.
- Collaborating with AI Architects and Enterprise Architects.
- Producing executive-level recommendations and data modernization roadmaps.
Must-haves:
- Experience in enterprise data architecture for 8+ years.
- Strong MDM expertise.
- Experience consolidating data from multiple business units, acquisitions, or ERP systems.
- Strong understanding of enterprise reporting and analytics architectures.
- Experience with finance, operational, inventory, or supply chain data domains.
- Data governance framework development experience.
- Strong consulting and stakeholder management skills.
- Experience conducting maturity assessments and enterprise discovery initiatives.
- Level of English – from Upper-Intermediate+ and above.
Nice-to-haves:
- Azure Data Factory.
- Fabric.
- Snowflake.
- Databricks.
- Healthcare data experience.
- HL7/FHIR knowledge.
- Medallion architecture.
- Data lake and lakehouse platforms.
Reasons why this job would be interesting to you:
- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
- The opportunity to change the project and/or develop expertise in an interesting business domain.
- Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
- Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
- The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
- Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
- Certification compensation (AWS, PMP, etc).
- Referral program.
- Private health insurance and compensation for sports activities.
Join us!
https://people.andersenlab.com/
