Senior Data Management Professional - Data Product Owner - Research Data

About the Role

Key Responsibilities

• Develop data-driven strategies, balancing the best of technical and product knowledge, and work with Engineering and Product departments to craft solutions
• Define what a fit-for-purpose data product looks like, and ensure data product health metrics are readily measured and transparent
• Identify, support, and develop strategies for new datasets
• Lead and implement data quality projects based on evolving business prioritization and commercial landscapes
• Make effective decisions in a fast-paced, rapidly changing environment
• Lead campaigns across the Research Team to mobilize the wider team of relationship managers and technical account managers around the strategy
• Make compelling cases and influence decision makers around resource allocation

Requirements

• 4 years+ experience working with senior leaders and decision-makers both internally within a firm and outside the firm, including C-suite level executives and senior stakeholder management
• Understanding of the mechanics of both the buy-side and sell-side analyst workflow, and ability to quantify industry trends and provide analysis to shape commercial decisions
• Deep knowledge of multi asset research, qualitative analysis, or industry analysis
• A solid grasp of data management principles and technologies such as data modeling, data analysis and statistics
• Strategic approach to align client needs with team goals
• Excellent interpersonal skills to clearly communicate business needs
• Proven ability to establish strong credibility and build influential relationships with multiple senior internal and external clients and partners
• Understanding of data integration using multiple data sources
• Creative and flexible approach to problem solving, aided by strong data analysis skills
• Understanding of quality assurance and quality control from a data and product perspective
• Proven track record of effective project management and meeting deliverables
• Experience speaking at public events to promote the brand and vision

Nice to Have

• Master's degree in relevant field and/or CFA designation (or working towards it)
• Proficiency using scripting languages (preferably Python) to query and interrogate datasets
• Experience using data visualization tools such as QlikSense or Tableau
• Experience or knowledge in Bloomberg products, Bloomberg terminal proficiency, and/or Bloomberg data workflows
• Experience using statistical methods, programming, and machine learning approaches to promote and measure data quality and generate insights
• Experience manipulating and wrangling large datasets
• Experience profiling datasets and coming up with necessary requirements

Benefits & Perks

• Salary Range = 110000 - 170000 USD Annually + Benefits + Bonus
• Comprehensive and generous benefits plans including merit increases, incentive compensation, paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) + match, life insurance, and wellness programs