Head of Data Management

Description A top-tier financial services organization is hiring a Senior Data & Analytics Leader to spearhead its enterprise data transformation journey. This role will architect and scale a data-as-a-product operating model, ensuring trusted, well-governed data and analytics are consistently delivered to business stakeholders. The position works cross-functionally with executives across business, technology, and analytics teams to translate data investments into measurable business outcomes. What You’ll Drive • Define and execute the long-term data product vision and strategy tied to enterprise objectives • Lead modernization of reporting, analytics, and data delivery platforms to enable faster insights • Oversee governance frameworks, metadata management, and quality controls to ensure integrity and compliance • Serve as the product owner for the data engineering portfolio, managing priorities and agile delivery cycles • Collaborate with architecture, cybersecurity, and business partners to align on standards and execution • Implement enterprise dashboards, KPIs, and performance reporting to enhance transparency • Foster a culture of data accountability, innovation, and continuous improvement across teams What You Bring • 10+ years of progressive experience in data, analytics, or business intelligence leadership • Strong understanding of data ecosystems within insurance, banking, or broader financial services • Proven success modernizing traditional data warehouses and reporting environments into scalable cloud platforms (AWS, Azure, or Databricks) • Expertise with BI and visualization tools such as Power BI, Cognos, or Qlik • Working knowledge of ETL/ELT, SQL, Python, or R • Experience managing agile data teams and product backlogs with a focus on business value delivery • Demonstrated strength in executive communication and stakeholder influence • Familiarity with data quality management, governance practices, and regulatory compliance • Agile Product Owner certification or comparable agile leadership credentials • Understanding of how AI, ML, and automation can enhance analytics delivery • Leadership style rooted in collaboration, accountability, and measurable impact