AVP, Data Product Owner Wealth Management

Role Overview: At LPLs Global Capability Center, you will be part of a collaborative culture where your opinions are valued, decisions are guided by integrity, and progress is driven by technology. Your skills and ideas will play a crucial role in reshaping the possibilities. LPL's dedicated employees work towards a common goal of empowering financial advisors to provide personalized advice to those in need. As we continue to expand and grow in Hyderabad, we invite you to join us in creating something extraordinary together. Key Responsibilities: - Establish clear ownership for assigned Wealth Management (WM) data products - Deliver well-defined, governed, and consumable datasets - Enhance data quality and trust at the product level - Embed governance into delivery workflows and backlog execution - Support enterprise initiatives with high-quality data products Qualification Required: - 610+ years of experience in Wealth Management or Financial Services - Experience in data product ownership, product management, or data governance within large enterprise environments - Strong understanding of WM data domains, business processes, and regulatory considerations - Working knowledge of data modeling, pipelines, transformations, data quality, metadata, lineage, and catalog tools - Ability to collaborate effectively with technical teams in structured governance environments Additional Details: LPL Financial is looking for an Assistant Vice President, Data Product Owner (DPO) to take charge of individual Wealth Management (WM) data products. Your responsibilities will include owning and managing datasets, ensuring accuracy, usability, and alignment with business needs. As the AVP DPO, you will collaborate with various stakeholders to define requirements, manage data quality, and drive adoption. This role is execution-focused with clear accountability for data quality, usability, and governance. Your success will be measured by the clear ownership of data products, improved data quality metrics, increased adoption of datasets, and effective contribution to enterprise data initiatives. Role Overview: At LPLs Global Capability Center, you will be part of a collaborative culture where your opinions are valued, decisions are guided by integrity, and progress is driven by technology. Your skills and ideas will play a crucial role in reshaping the possibilities. LPL's dedicated employees work towards a common goal of empowering financial advisors to provide personalized advice to those in need. As we continue to expand and grow in Hyderabad, we invite you to join us in creating something extraordinary together. Key Responsibilities: - Establish clear ownership for assigned Wealth Management (WM) data products - Deliver well-defined, governed, and consumable datasets - Enhance data quality and trust at the product level - Embed governance into delivery workflows and backlog execution - Support enterprise initiatives with high-quality data products Qualification Required: - 610+ years of experience in Wealth Management or Financial Services - Experience in data product ownership, product management, or data governance within large enterprise environments - Strong understanding of WM data domains, business processes, and regulatory considerations - Working knowledge of data modeling, pipelines, transformations, data quality, metadata, lineage, and catalog tools - Ability to collaborate effectively with technical teams in structured governance environments Additional Details: LPL Financial is looking for an Assistant Vice President, Data Product Owner (DPO) to take charge of individual Wealth Management (WM) data products. Your responsibilities will include owning and managing datasets, ensuring accuracy, usability, and alignment with business needs. As the AVP DPO, you will collaborate with various stakeholders to define requirements, manage data quality, and drive adoption. This role is execution-focused with clear accountability for data quality, usability, and governance. Your success will be measured by the clear ownership of data products, improved data quality metrics, increased adoption of datasets, and effective contribution to enterprise data initiatives.