Senior Investment Reporting Data Product Owner

Job Overview

As a senior data professional, you will be responsible for leading the development and implementation of a future state data reporting product to enable regulatory, client, vendor, internal and MI reporting and analytics.

The successful candidate will have in-depth knowledge of all data domains that represent institutional clients, the investment life cycle, regulatory and client reporting data requirements.

Key Responsibilities

1. 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.
2. Line management responsibilities for junior data analysts within the chapter, coaching, influencing and motivating them for high performance.
3. Define the data product vision and strategy with end-to-end thought leadership.
4. Lead and define the data product backlog, documentation, enable peer-reviews, analysis effort estimation, maintain backlog, and support end to end planning.
5. Be a catalyst of change for driving efficiencies, scale and innovation.

Data Quality and Integrity

You will be responsible for defining data quality use cases for all the required data sets and contributing to the technical frameworks of data quality. Align the functional solution with the best practice data architecture & engineering.

Coordination and Communication

As a senior management level communicator, you will influence senior tech and business stakeholders globally, get alignment on the roadmaps. You will coordinate with internal and external teams to communicate with those impacted by data flows. You will be an advocate for the ISS Data Programme.

About You

For this role, you should have 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.

Also, you should have 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.

Strong leadership and senior management level communication, internal and external client management and influencing skills are also essential.

Required Skills and Qualifications

• 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.
• Strong leadership and senior management level communication, internal and external client management and influencing skills.
• 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.
• 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.
• Problem Solving, Attention to detail, Critical thinking.
• Technical Skills: Hands on SQL, Advanced Excel, Python, ML (optional) and knowledge of end-to-end tech solutions involving data platforms.
• Knowledge of data management, data governance, and data engineering practices.
• Hands on experience with data modelling techniques such as dimensional, data vault.