About The Position

As a Sr. Product Associate - Client Intelligence - Machine Learning Center of Excellence, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. You will act as the voice of the customer and develop profitable products that provide customer value. Your role involves guiding the successful launch of products, gathering crucial feedback, and ensuring top-tier client experiences. You will collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations, with a strong commitment to scalability, resiliency, and stability.

Requirements

  • 3+ years of experience or equivalent expertise in product management or a relevant domain area.
  • Advanced knowledge of the product development life cycle, design, and data analytics.
  • Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
  • Passion for market instruments and strong knowledge of various asset classes, operations, and the instrument life cycle.
  • Experience in cloud computing and architecture, ML platform processes, and tools spanning data ingestion, data engineering, data quality, data orchestration, end-to-end infrastructure, usage/consumption, and data privacy considerations and governance.
  • Experience working on projects involving the ML development lifecycle (MDLC), including annotation, model training, model serving, scoring, pre/post-processing, productionization, and feedback capture.
  • Demonstrate initiative and a proactive, hands-on solutions-oriented approach to achieving team goals.
  • Ability to convert ambiguous needs into scalable business solutions.

Nice To Haves

  • Demonstrated prior experience working in a highly matrixed, complex organization.
  • Thorough understanding of Machine learning and how to approach building a business development plan.
  • Demonstrated ability to market products and collaborate among customers, stakeholders, and different levels of management.
  • Demonstrated ability to explain machine learning governance.

Responsibilities

  • Create data flow diagrams, customer journey mapping, etc. to clearly map out the requirements and user journey end-to-end.
  • Build robust product requirement documents and set clear scope, test strategies, and execution plans.
  • Work closely with data scientists and engineers to brainstorm ideas and solve business problems.
  • Design metrics and KPIs to measure feature/product success and ensure understanding among team and stakeholders.
  • Test new features, approve launches, and engage stakeholders for an early preview.
  • Design and develop launch/roadshow contents, and work with stakeholders to create platforms to showcase valuable new features.
  • Collect user testimonials and feedback regularly and iterate the product to create incremental business value.
  • Provide clients with a clear vision and communicate your execution strategy through a well-defined roadmap.
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