Data Product Owner

Key Responsibilities

Leadership and Management:

• Lead the ISS distribution, Client Propositions, Sustainable Investing and Regulatory reporting data outcomes defining the data roadmap and capabilities and supporting the execution and delivery of the data solutions as a Data Product lead within the ISS Data Programme.
• Line management responsibilities for junior data analysts within the chapter, coaching, influencing and motivating them for high performance.
• Define the data product vision and strategy with end-to-end thought leadership.
• Lead and define the data product backlog , documentation, enable peer-reviews, analysis effort estimation, maintain backlog, and support end to end planning.
• Be a catalyst of change for driving efficiencies, scale and innovation.

Data Quality and Integrity:

• Define data quality use cases for all the required data sets and contribute to the technical frameworks of data quality.
• Align the functional solution with the best practice data architecture & engineering.

Coordination and Communication:

• Senior management level communication to influence senior tech and business stakeholders globally, get alignment on the roadmaps.
• Coordinate with internal and external teams to communicate with those impacted by data flows.
• An advocate for the ISS Data Programme.
• Collaborate closely with Data Governance, Business Architecture, and Data owners etc.
• Conduct workshops within the scrum teams and across business teams, effectively document the minutes and drive the actions.

Your Skills and Experience

• Strong leadership and senior management level communication, internal and external client management and influencing skills.
• At least 15 years of proven experience as a senior business/technical/data analyst within technology and/or business change delivering data led business outcomes within the financial services/asset management industry.
• 5-10 years as a data product owner adhering to agile methodology, delivering data solutions using industry leading data platforms such as Snowflake, State Street Alpha Data, Refinitiv Eikon, SimCorp Dimension, BlackRock Aladdin, FactSet etc.
• Outstanding knowledge of Client life cycle covering institutional & wholesale with a focus on CRM data, Transfer agency data.
• Very good understanding of the data generated by investment management processes and how that is leveraged in Go-to market capabilities such as client reporting, Sales, Marketing.
• Excellent knowledge of regulatory environment with a focus on European regulations and ESG specific ones such as MIFID II, EMIR, SFDR.
• Work effortlessly in different operating models such as insourcing, outsourcing and hybrid models.
• Automation mindset that can drive efficiencies and quality in the reporting landscape.
• Knowledge of industry standard data calcs for fund factsheets, Institutional admin and investment reports would be an added advantage.
• In Depth expertise in data and calculations across the investment industry covering the below.

• Client Specific data:

  This includes institutional and wholesale client, account and channels data, client preferences and data sets needed for client analytics. Knowledge of Salesforce desirable.

• Transfer Agency & Platform data:

  This includes granular client holdings at various levels, client transactions and relevant ref data. Knowledge of role of TPAs as TA and integrating external feeds/products with strategic inhouse data platforms.

• Investment data:

  This includes investment life cycle data covering data domains such as trading, ABOR, IBOR, Security and fund reference.