Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations. As a Senior Product Associate in the Marketing Automation Platform Team, you'll contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success. Job responsibilities
Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery.
Considers and plans for upstream and downstream implications of new product features on the overall product experience.
Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential. product features that provide value to customers.
Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle.
Writes the requirements, epics, and user stories to support product development.
Exceptional interpersonal and organizational skills, with demonstrated ability to capture accurate requirements, resolve conflicts, and collaborate effectively across teams.
Required qualifications, capabilities, and skills
3+ years of experience or equivalent expertise in product management or a relevant domain area.
Proficient knowledge of the product development life cycle.
Experience in product life cycle activities including discovery and requirements definition.
Developing knowledge of data analytics and data literacy.
AI/ML exposure, with emphasis on AI/ML solution development and prompt design/creation.
Strong deck-building and storytelling skills, producing stakeholder-ready presentation materials.
Knowledge of marketing analytics/data, including how data enables segmentation, customer journeys, and measurement/attribution.
Familiarity with Customer Data Platforms (CDPs).
Technical fluency with event-driven architecture, including Kafka concepts (topics, partitions, consumer groups, offsets, schemas, replay) and how streaming impacts real-time segmentation/journeys.
Ability to translate between technical and business audiences—communicating requirements, trade-offs, and outcomes clearly to engineers, data teams, and non-technical stakeholders.
Preferred qualifications, capabilities, and skills
