DescriptionEmbrace the challenge of steering complex tech projects fostering growth and technical excellence in a dynamic environment. Manage the full lifecycle of data products automate analytics and deliver business value through innovative data frameworks and process automation.
As an Analytics Product Manager on the Wealth Management Decision Sciences Team youll drive product strategy act as the voice of your customer and launch impactful analytic solutions. Youll shape data product development enabling scalable resilient and reusable frameworks that support advanced analytics and AI. Working closely with cross-functional teams youll deliver high-quality products develop automated dashboards and empower decision-makers with real-time insights. Your leadership will foster data curiosity continuous improvement and ensure our data products stay competitive and aligned with business goals.
Job responsibilities:
- Lead the full product lifecycle for data-driven solutions from discovery and ideation through launch continuous improvement and retirement.
- Develop and execute product strategies and roadmaps that align with business objectives and deliver measurable value to customers and stakeholders.
- Design build and automate dashboards workflows and self-serve analytics tools using technologies such as Alteryx Tableau SQL Python and other ETL and BI platforms.
- Manage and prioritize product backlogs ensuring timely delivery of high-quality scalable and resilient data products and reporting solutions.
- Collaborate with cross-functional teamsincluding Data & Analytics Finance Technology and Field Leadershipto gather requirements align on use cases and drive adoption.
- Establish and track key performance indicators (KPIs) to measure product success synthesize insights and present recommendations to senior management.
- Identify and implement opportunities for process automation and efficiency improvements across data pipelines and reporting solutions.
- Evaluate and integrate new data sources frameworks and external vendor solutions to expand analytic capabilities.
- Stay current with industry trends emerging technologies and best practices in data product management AI and advanced analytics.
Required qualifications capabilities and skills:
- 6 years of experience or equivalent expertise in product management or a relevant analytics focused function.
- Experience managing the end-to-end product lifecycle for data or analytics products
- Advanced proficiency in data frameworks process automation and business intelligence tools (e.g. Alteryx Tableau SQL Python Snowflake).
- Strong understanding of data modeling ETL processes and the development of reusable data products.
- Ability to manage stakeholder expectations communicate complex concepts clearly and influence decision-making at all levels.
- Proficient with Agile methodologies and backlog management.
- Excellent analytical quantitative and problem-solving skills with a keen attention to detail.
- Ability to quickly learn and apply new technologies and frameworks.
- Bachelors degree in Computer Science Business Analytics or a related field.
Preferred qualifications capabilities and skills:
- Knowledge of financial services data domains and regulatory requirements.
- Experience supporting AI and advanced analytics initiatives.
- Growth mindset and passion for continuous learning and innovation.
- Masters degree in Computer Science Business Analytics or a related field.
This role is not eligible for visa sponsorship or relocation assistance
Required Experience:
Exec