Enterprise Data Manager & Architect

About the role

The Enterprise Data Manager & Architect is responsible for defining, governing, and optimizing data across transactional, operational, and analytical systems. This role focuses on data ownership, including where data resides, how it is sourced, how it flows across systems, and how it is made available for business consumption.

Responsibilities

• Define and maintain the enterprise data sourcing strategy, documenting where data exists and how it supports transactional and reporting needs.
• Create and enforce enterprise standards for data architecture, modeling, metadata, lineage, quality, MDM, and stewardship.
• Ensure compliance with regulatory and data security requirements across systems.
• Define enterprise data architecture and canonical data models across transactional, operational, and analytical systems.
• Guide modernization initiatives such as database redesigns, platform consolidation, and legacy system decommissioning.
• Enable business teams to self-serve insights through governed data models and Power BI Copilot/NLQ capabilities, without IT owning the reporting function.
• Identify practical machine learning applications—such as anomaly detection, forecasting, and natural language insights.
• Improve enterprise data literacy and promote standardized data usage across WellDyne.

Requirements

• Bachelor’s or Master’s in Information Systems, Computer Science, Data Analytics, or related field.
• 8–12 years of progressive experience in data management, architecture, or governance, including 3–5 years in a lead/architect role.
• Experience establishing or maturing a Data Management COE or governance program.
• Hands-on experience with data lakes, modern cloud data platforms (AWS/Azure/GCP), SQL, and ETL/ELT.
• Experience with Power BI Copilot and enabling natural-language data access.
• Exposure to applied machine learning preferred.
• Professional certifications preferred (Azure/AWS Data, Power BI, DAMA, TOGAF).

Qualifications

• Deep expertise in data architecture, modeling, metadata, lineage, and governance frameworks (DAMA/DMBOK, DCAM, TOGAF).
• Strong understanding of data lakes, semantic modeling, and modern integration patterns.
• Ability to define enterprise-wide data structures and ensure adoption.
• Excellent communication and influencing skills across technical and business audiences.
• Strong leadership, facilitation, and mentorship capabilities.
• Ability to simplify complex data concepts for business stakeholders.

Skills

• Knowledge of data lakes, semantic modeling, and modern integration patterns.
• Experience with Power BI Copilot and enabling natural-language data access.
• Exposure to applied machine learning.
• Professional certifications (Azure/AWS Data, Power BI, DAMA, TOGAF).

Benefits

Not specified.

Pay

Not specified.

Schedule

Not specified.