Advanced Principal Data Management

About the Company: An American independent investment management company headquartered in Atlanta, Georgia, with branch offices in 20 countries. Its common stock is a constituent of the S&P 500 and trades on the New York Stock Exchange. The organization manages diversified investment strategies and operates global technology and data platforms to support asset management, risk, compliance, and client reporting.

About the Role: We are seeking an experienced Advanced Principal Data Management professional to drive enterprise data strategy, governance, and execution for critical investment management domains. This senior role will partner with business leaders, engineering, risk and compliance to design and deliver scalable master data, metadata, and data-quality solutions that enable trusted decision-making across the firm. The role combines technical architecture, program leadership, and stakeholder management with hands-on delivery and mentoring of more junior practitioners.

Key Responsibilities:

• Define and implement enterprise data management strategy, standards, policies, and roadmaps for master data, metadata, data lineage, and data quality.
• Lead design and delivery of Master Data Management (MDM) solutions and integrations across source systems, data warehouses, and downstream consumers.
• Establish and operationalize data governance councils, stewardship workflows, and data ownership models with business and technology stakeholders.
• Define and monitor data quality KPIs, remediation processes, and root-cause analysis; drive continuous improvement.
• Develop and maintain logical and physical data models, metadata catalogs, and data lineage documentation.
• Partner with engineering and cloud teams to design scalable data architectures (ETL/ELT, pipelines, lakes/warehouses, streaming) and select appropriate tools and platforms.
• Drive compliance with regulatory and internal data controls, supporting audit, risk and reporting requirements.
• Manage third-party vendors and implementation partners where applicable.
• Provide technical leadership and mentorship to data engineers, stewards, and analysts; influence cross-functional teams to adopt best practices.

Requirements:

• 12–16 years of progressive experience in enterprise data management, with demonstrable leadership in MDM, data governance, data quality, or related domains.
• Strong domain experience in financial services or investment management preferred; ability to translate business requirements into data solutions.
• Hands-on experience with MDM implementations and integration patterns; familiarity with tools such as Informatica MDM, Reltio, IBM InfoSphere, or comparable platforms.
• Deep understanding of data modeling, metadata management, data lineage, and data quality frameworks.
• Proficiency with SQL and familiarity with scripting or programming languages (Python, Java, or equivalent).
• Experience with cloud data platforms and modern data architectures (AWS/Azure/GCP, data lakes, warehouses, ETL/ELT).
• Proven stakeholder management and communication skills; experience leading cross-functional, global initiatives.
• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent professional experience.

Preferred Qualifications:

• Advanced degree (MS) in a relevant discipline or senior industry certifications (e.g., CDMP, DAMA, cloud certifications).
• Experience with enterprise data catalog and governance tools (Collibra, Alation, Talend, etc.).
• Prior exposure to regulatory reporting, risk data aggregation, or front-to-back investment data flows.
• Experience managing vendors and large-scale, multi-year data programs.

Location: Hyderabad, India