Senior Product Manager (Investment Data Platforms)
Overseeing the strategic lifecycle and technical roadmap of data systems for investment management professionals.
Overview
This career revolves around the orchestration of massive datasets and the development of tools that transform raw market information into actionable insights. Day-to-day work involves high-level strategic planning with portfolio managers and quantitative researchers to identify data gaps or performance bottlenecks. The rhythm is often dictated by market cycles and technical release schedules, requiring a balance between urgent data troubleshooting and long-term infrastructure architectural design.
Individuals in this role solve problems related to data latency, accuracy, and cross-platform integration. Success requires a blend of technical literacy in data engineering and a deep understanding of financial instruments such as equities, fixed income, and derivatives. Those who thrive are typically analytical, resilient under the pressure of live trading environments, and capable of translating complex financial requirements into technical specifications for engineering teams.
Responsibilities
- Define the long-term product vision and technical roadmap for investment data warehouses and reporting engines.
- Collaborate with data engineers to design scalable pipelines for real-time and batch processing of market data.
- Prioritize the feature backlog based on stakeholder feedback from portfolio managers and risk analysts.
- Establish rigorous data quality standards and monitoring frameworks to ensure the accuracy of financial reporting.
- Liaise with external data vendors to manage licensing agreements and integrate new third-party datasets.
- Lead cross-functional teams through the full software development lifecycle using agile methodologies.
- Evaluate emerging technologies in cloud computing and machine learning to improve platform efficiency.
Qualifications
- Extensive experience in product management specifically within the financial services or fintech sectors.
- Deep understanding of investment data types including ESG, alternative data, and fundamental market data.
- Strong proficiency in SQL and familiarity with data architecture principles such as ETL and data modeling.
- Demonstrated ability to manage complex technical products from conception through to enterprise-wide launch.
- Proven track record of stakeholder management involving senior executives and technical leads.
Nice to have
- Advanced degree in Finance, Computer Science, or a related quantitative field.
- Chartered Financial Analyst (CFA) designation or progress toward the certification.
- Experience with cloud-native data platforms such as Snowflake, AWS Redshift, or Databricks.
- Knowledge of programming languages like Python or R for data analysis and prototyping.
Work environment
- Work is typically performed in a professional office setting with hybrid flexibility common in major financial hubs.
- The environment is fast-paced and highly collaborative, requiring frequent interaction with engineering and investment teams.
- Standard business hours often extend during critical platform migrations or period-end reporting cycles.
- Professional tools include project management software, data visualization suites, and terminal access to market data providers.
Benefits & growth
- Compensation typically includes a significant base salary supplemented by performance-based annual bonuses.
- Career progression often leads to Director of Product or Head of Data Platform roles within institutional finance.
- Opportunities for professional development include specialized training in financial engineering and data science.
- Standard benefits packages often include comprehensive healthcare, retirement matching, and occasionally equity or profit-sharing.
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