Data Solutions Senior Manager
Fidelity International View all jobs
- Gurgaon, Haryana
- Permanent
- Full-time
- Maintain and monitor data quality across ISS data domains, working directly with senior data owners, stewards and consumers to resolve issues and improve standards
- Track and manage ISS data issues, ensuring timely resolution and clear communication with stakeholders, including Production Services and other technology and delivery teams
- Act as a liaison between ISS business teams and the enterprise data governance function, ensuring adherence to enterprise data policies and helping communicate governance requirements and updates to ISS business teams
- Build strong working relationships with data owners, stewards, and business teams to understand data requirements, and the business context of its usage
- Act as a trusted advisor to business stakeholders on data-related matters, providing hands-on support and guidance
- Support implementations of improvements to data capabilities like the implementation and maintenance of business data identifiers, defining ISS’s Universe of Interests and data standardisation (e.g. Index, Sector, Asset Class)
- Collaborate with the Market Data team, ensuring that existing and new data solutions are aligned to our principles for optimizing data costs and correctly licensed data usage
- Extract and integrate data from multiple systems to support analysis and reporting needs
- Perform data analysis to identify trends, anomalies, and opportunities for improving data quality and operational efficiency
- Design and configure data validation processes, including automated checks and exception handling, to ensure accuracy and consistency across data domains.
- Facilitate collaboration between ISS and technical teams to ensure data products and solutions are well integrated and meet operational needs
- Run and report on data quality metrics, escalating issues where necessary and supporting remediation efforts.
- Support the identification and mitigation of data-related risks within ISS, including the formal logging of risks and the timely closure of audit and compliance actions.
- Ensure that data-related controls are embedded in business processes and that data owners are supported in meeting their responsibilities
- Contribute to continuous improvement initiatives by identifying inefficiencies and proposing enhancements to data processes and tooling
- Chair and participate in ISS data forums and working groups focused on improving data management practices and the timely escalation of any urgent items
- Provide input into data design and operational readiness for change initiatives and strategic projects (e.g. ROMA)
- Monitor completion of data training specific to ISS and encourage adoption of best practices across ISS business teams
- Support the standardisation of data management approaches across domains and portfolios for a more consistent operating model across the enterprise
- Work closely with Data Architecture and technical product owners to ensure alignment on data definitions, models, and metadata
- Support the prioritisation and tracking of data lake hydration activities relevant to ISS domains
- Engage with data consumers to ensure successful adoption and usage of ISS data products
- Proven experience in a data management, data operations, or business analyst role within financial services or asset management
- Strong understanding of business data flows, operational data usage, and stakeholder engagement
- Familiarity with data quality tools and metrics, and experience resolving data issues in a business context
- Hands-on experience with SQL, Python, or similar scripting languages for querying and manipulating large datasets.
- Experience in configuring and deploying data quality validation frameworks or tools.
- Ability to leverage data analysis to inform data governance and quality improvement initiatives.
- Excellent communication and relationship-building skills, with the ability to influence and collaborate across teams
- Experience with data visualisation tools (e.g. Power BI, Tableau) is beneficial
- Knowledge of data mastering, metadata, and business data identifiers is a plus
- Proactive mindset with a passion for improving data culture and operational efficiency