Senior Data Governance Manager – Vice President
The Product organization is recruiting an experienced senior data governance analyst/manager to help drive the data governance focus into the data product development agenda globally for the Global Custody business.
The individual will partner with the product development workstream leads and value stream leads to execute on the custody data strategy particularly focused on developing and embedding the core data governance principles into the overall data ecosystem partnering with the central Data Governance, CDO, Operations, Architecture and Technology functions to strengthen State Street’s position in the Asset Servicing industry. State Street’s product organization is leading an exciting period of transformation for the business and requires experienced leaders to take the business forward.
The role will mainly focus on initiating and supporting the design and development of solutions around the data governance capabilities that enable full data lifecycle governance, data dictionary, data quality, data lineage, data ontology, and data contracts.
The role is suited for someone who is looking to re-imagine data governance from being a resource, process-heavy space to a proactive, nimble, and scalable capability.
Function
As an experienced senior data governance analyst, you will work with the product development workstream leads and value stream leads to execute on the programme roadmap through fairly ambitious OKRs. The role reports to the Head of Data for Global Custody Product.
The role requires you to be proactively involved in aligning industry best practices with CDO office driven data governance policies. The role allows a fair bit of flexibility on the implementation options to achieve the desired outcomes for the Data Governance agenda.
The role involves a huge amount of cross-team collaboration to drive the agenda forward and enable State Street to evolve into a data-centric organization.
Responsibilities
You will have responsibility for the following:
Execute on the Data strategy to build and embed a modern Data Governance framework
Data Governance Framework Development:
Develop and embed a comprehensive data governance framework to support product development initiatives, ensuring alignment with enterprise data governance standards and regulatory requirements.
Collibra Implementation and Management:
Act as the subject matter expert for
Collibra , overseeing its implementation, configuration, and integration into the bank’s data landscape. Drive adoption and ensure Collibra is leveraged to its full potential.
Metadata Management:
Design the approach for metadata management, data cataloguing, and lineage tracking within Collibra to enable data transparency and discoverability. Design and embed modern approaches to data lineage and ontology utilizing the tooling for data catalog and knowledge graphs.
Policy and Standards:
Implement data governance policies, procedures, and standards. Ensure these are consistently applied across all data product development activities.
Stakeholder Engagement:
Collaborate with cross-functional teams, including product managers, data architects, data stewards, engineers, compliance, and risk teams, to embed data governance best practices into the product lifecycle. Work alongside the Central Data Governance team, DataOps, and CDO to ensure seamless adoption of the data governance framework.
Data Quality Oversight:
Establish and embed data quality metrics, monitoring, and reporting to ensure high-quality data across systems and products.
Regulatory Compliance:
Ensure adherence to relevant data governance and privacy regulations for all key data elements (PII, CDE, etc.) and wider industry standards.
Training and Advocacy:
Participate with key stakeholders and promote a culture of data accountability. Serve as an advocate for data governance within the organization. Ensure all data-related changes remain aligned to existing standards and/or internal enterprise data governance policies.
Responsible for ensuring appropriate governance, compliance with policies/frameworks, and oversight of issues, risks, audit and compliance items related to data topics. Present to senior management as requested and lead delivery of initiatives as required.
Skills Background or experience in data governance, data solutions, data modelling, analysis, and visualization is key.
Strong familiarity with financial services, particularly custody banking, asset servicing, or securities.
Understanding of regulatory requirements affecting data governance in the banking sector.
Strong data and analytical skills.
Advanced expertise in data governance tools (e.g., Collibra).
Expertise with modern data stack/tools (e.g. Snowflake, Databricks).
Strong knowledge of metadata management, data cataloguing, and lineage.
Excellent analytical and problem-solving skills.
Exceptional communication and stakeholder management skills.
Professional certification in data governance or data management (e.g. CDMP / DAMA) is beneficial.
Ability to translate technical concepts into business language.
Experience 5+ years’ experience in Securities Services.
8+ years’ experience in Financial Services.
Worked in Product organizations in prior roles.
Operated at a global level.
Prior experience working in data and/or technology - familiarity with tools, tech stack (e.g. Snowflake, Databricks, Collibra, etc.).
Outcomes expected from the roles Build and embed a modern data governance framework into the data products ecosystem.
Maintain up-to-date understanding of data governance tools, standards, and changes in the modern data landscape.
Appropriate governance and audit trail on documentation of all key decisions and actions.
Split of role: Data governance strategy design, development, and execution: 90%
Market / Client interaction: 10%
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Data Governance Framework Development:
Develop and embed a comprehensive data governance framework to support product development initiatives, ensuring alignment with enterprise data governance standards and regulatory requirements.
Collibra Implementation and Management:
Act as the subject matter expert for
Collibra , overseeing its implementation, configuration, and integration into the bank’s data landscape. Drive adoption and ensure Collibra is leveraged to its full potential.
Metadata Management:
Design the approach for metadata management, data cataloguing, and lineage tracking within Collibra to enable data transparency and discoverability. Design and embed modern approaches to data lineage and ontology utilizing the tooling for data catalog and knowledge graphs.
Policy and Standards:
Implement data governance policies, procedures, and standards. Ensure these are consistently applied across all data product development activities.
Stakeholder Engagement:
Collaborate with cross-functional teams, including product managers, data architects, data stewards, engineers, compliance, and risk teams, to embed data governance best practices into the product lifecycle. Work alongside the Central Data Governance team, DataOps, and CDO to ensure seamless adoption of the data governance framework.
Data Quality Oversight:
Establish and embed data quality metrics, monitoring, and reporting to ensure high-quality data across systems and products.
Regulatory Compliance:
Ensure adherence to relevant data governance and privacy regulations for all key data elements (PII, CDE, etc.) and wider industry standards.
Training and Advocacy:
Participate with key stakeholders and promote a culture of data accountability. Serve as an advocate for data governance within the organization. Ensure all data-related changes remain aligned to existing standards and/or internal enterprise data governance policies.
Responsible for ensuring appropriate governance, compliance with policies/frameworks, and oversight of issues, risks, audit and compliance items related to data topics. Present to senior management as requested and lead delivery of initiatives as required.
Skills Background or experience in data governance, data solutions, data modelling, analysis, and visualization is key.
Strong familiarity with financial services, particularly custody banking, asset servicing, or securities.
Understanding of regulatory requirements affecting data governance in the banking sector.
Strong data and analytical skills.
Advanced expertise in data governance tools (e.g., Collibra).
Expertise with modern data stack/tools (e.g. Snowflake, Databricks).
Strong knowledge of metadata management, data cataloguing, and lineage.
Excellent analytical and problem-solving skills.
Exceptional communication and stakeholder management skills.
Professional certification in data governance or data management (e.g. CDMP / DAMA) is beneficial.
Ability to translate technical concepts into business language.
Experience 5+ years’ experience in Securities Services.
8+ years’ experience in Financial Services.
Worked in Product organizations in prior roles.
Operated at a global level.
Prior experience working in data and/or technology - familiarity with tools, tech stack (e.g. Snowflake, Databricks, Collibra, etc.).
Outcomes expected from the roles Build and embed a modern data governance framework into the data products ecosystem.
Maintain up-to-date understanding of data governance tools, standards, and changes in the modern data landscape.
Appropriate governance and audit trail on documentation of all key decisions and actions.
Split of role: Data governance strategy design, development, and execution: 90%
Market / Client interaction: 10%
#J-18808-Ljbffr
