Client Reference Data - Product Associate

You are a strategic thinker passionate about driving solutions in Client Data Product Management. You have found the right team. As a Data Product Manager within our dynamic team, you will be responsible for scaling the CDM (client data management) data product, strengthening operating models, and driving operational excellence through data-driven execution. Job Responsibilities Drive product development for the CDM data product with cross-functional, cross-domain partners. Collaborate with stakeholders to deliver impactful, scalable data product solutions. Design cross-product operating models to strengthen execution, governance, and scalability. Implement operating model changes in partnership with operational teams to improve delivery rigor. Optimize processes and controls to enable consistent product execution and operational excellence. Analyze large datasets to extract actionable insights and surface business opportunities. Communicate insights clearly to align teams, accelerate decisions, and drive outcomes. Engage diverse user groups to understand needs and deliver measurable user value. Manage professional relationships with a client-service mindset and product excellence focus. Support the full SDLC using agile/scrum practices while adapting to shifting priorities. Shape product strategy through structured problem-solving, clarity of execution, and strong organization. Required qualifications, capabilities and skills Demonstrate strong ownership, initiative, attention to detail, and structured execution. Bring at least 5+ years of financial services experience, including 2+ years in asset & wealth management. Proven product development experience and success delivering outcomes across functions/domains. Apply experience partnering with operational teams to build and implement operating models. Operate effectively within SDLC environments, with hands-on agile/scrum delivery experience. Exhibit high data literacy with the ability to process and analyze large datasets. Leverage data analysis/visualization tools (e.g., Alteryx, Python, Tableau) as applicable. Uphold strong data governance orientation (e.g., MDM) when working with critical client data. Communicate clearly in writing and verbally across varied stakeholder groups. Build trusted relationships and manage professional touchpoints across diverse users. Preferred qualifications, capabilities and skills Hold an advanced degree in Business, Finance, or a related field. Bring experience with cloud-based data platforms and modern data architectures. Demonstrate experience scaling data products within large organizations. Apply UI/UX research or design exposure to shape intuitive, high-impact product experiences. Show familiarity with workflow/digital ecosystem concepts and/or distribution/CRM platforms. Developing experience using AI-powered analytics , workflow automation, or intelligent process tools to drive efficiency gains, reduce manual effort, or improve accuracy in operational processes.