Data Product Manager (AI Data Products) chez UBS Group AG
UBS Group AG · Weehawken, États-Unis d'Amérique · Onsite
- Senior
- Bureau à Weehawken
Your role
• Data Analysis and Requirements Gathering:
o Work closely with leadership to understand the global AI & data strategy to define clear business, functional requirements & data requirements & support technical requirements for complex data products.
o Analyze large scale complex data sets to identify insights and opportunities to scale data solutions across the organization
o Design complex semantic layers or reporting views to ensure data consistency and accuracy for end user reporting,
• Product Ownership:
o Define & deliver the vision, strategy, and roadmap for Data Products to accelerate AI products, AI Agentic Products and prepare the delivery roadmap and prioritization for how to build scalably.
• Front-to-Back Delivery:
o Oversee the entire data product lifecycle, from data ingestion and transformation to reporting and visualization.
o Ensure seamless integration of data products across the firm
• Data Literacy & Change Management:
o Promote data literacy and data-driven decision making within the organization. Provide training and support to users on how to leverage data products effectively.
• Stakeholder Management & collaboration:
o Build strong relationships with stakeholders across the organization, including executives, business users, data engineers, data scientists and technology teams.
• Agile Delivery & Data Governance:
o Operate & collaborate in an Agile manner deliver data products in an iterative and incremental manner. Manage the product backlog, prioritize features, and ensure timely delivery.
o Work with data governance teams to understand and establish and enforce data standards and policies.
Detailed salary information:
• Weehawken: the salary range for this role is $140000 to $180000
The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits.
o Work closely with leadership to understand the global AI & data strategy to define clear business, functional requirements & data requirements & support technical requirements for complex data products.
o Analyze large scale complex data sets to identify insights and opportunities to scale data solutions across the organization
o Design complex semantic layers or reporting views to ensure data consistency and accuracy for end user reporting,
• Product Ownership:
o Define & deliver the vision, strategy, and roadmap for Data Products to accelerate AI products, AI Agentic Products and prepare the delivery roadmap and prioritization for how to build scalably.
• Front-to-Back Delivery:
o Oversee the entire data product lifecycle, from data ingestion and transformation to reporting and visualization.
o Ensure seamless integration of data products across the firm
• Data Literacy & Change Management:
o Promote data literacy and data-driven decision making within the organization. Provide training and support to users on how to leverage data products effectively.
• Stakeholder Management & collaboration:
o Build strong relationships with stakeholders across the organization, including executives, business users, data engineers, data scientists and technology teams.
• Agile Delivery & Data Governance:
o Operate & collaborate in an Agile manner deliver data products in an iterative and incremental manner. Manage the product backlog, prioritize features, and ensure timely delivery.
o Work with data governance teams to understand and establish and enforce data standards and policies.
Detailed salary information:
• Weehawken: the salary range for this role is $140000 to $180000
The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits.
City
Weehawken
Job Type
Full Time
Country / State
United States - New Jersey
Function Category
Operations
Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
Contact Details
UBS Business Solutions SA
UBS Recruiting
UBS Recruiting
Disclaimer / Policy statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
Your team
The STAAT Analytics Product Management team is working across the Data & Foundational Platforms stream to implement scalable data products to accelerate WMA’s global AI Strategy. You will be part of the strategic effort to collate data across WMA to influence data solutions for our Financial Advisors, support professionals, and clients. You’ll be joining the Analytics, Reporting & BI Crew in Weehawken, NJ.
Your expertise
• Ideally 8+ years of experience leading data warehouse & BI projects
• Deep functional and technical knowledge of data warehousing, data modeling, ETL, semantic & reporting capabilities, and overall, AI delivery models (GenAI, LLM, Machine Learning).
• Significant expertise and delivery of all types of requirements as part of front to back delivery of data or and AI solutions: (business requirements, functional requirements, data requirements & technical implementation requirements)
• Experience in Business process re-engineering using automated solutions
• Superior communication & leadership skills and demonstrated ability to build collaborate and work with various across different levels of the organization
• Excellent critical thinking skills for data analysis, exploratory data analysis of structured and unstructured large data
• Technical Skills:
o Strong understanding of data warehousing principles, ETL processes, and data modeling techniques.
o Proficiency in SQL, Python, R and data visualization tools (e.g., Tableau, Power BI).
o Experience in designing complex semantic layers and data marts.
o Proficiency in data modeling tools (e.g., Erwin Data Modeler, ER/Studio)
o Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus.
o Experience with data quality tools and techniques.
o Comprehend AI Delivery Models (NLP, Machine Learning Models, Model Evaluation)
• Deep functional and technical knowledge of data warehousing, data modeling, ETL, semantic & reporting capabilities, and overall, AI delivery models (GenAI, LLM, Machine Learning).
• Significant expertise and delivery of all types of requirements as part of front to back delivery of data or and AI solutions: (business requirements, functional requirements, data requirements & technical implementation requirements)
• Experience in Business process re-engineering using automated solutions
• Superior communication & leadership skills and demonstrated ability to build collaborate and work with various across different levels of the organization
• Excellent critical thinking skills for data analysis, exploratory data analysis of structured and unstructured large data
• Technical Skills:
o Strong understanding of data warehousing principles, ETL processes, and data modeling techniques.
o Proficiency in SQL, Python, R and data visualization tools (e.g., Tableau, Power BI).
o Experience in designing complex semantic layers and data marts.
o Proficiency in data modeling tools (e.g., Erwin Data Modeler, ER/Studio)
o Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus.
o Experience with data quality tools and techniques.
o Comprehend AI Delivery Models (NLP, Machine Learning Models, Model Evaluation)
About us
UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.
We have a presence in all major financial centers in more than 50 countries.
We have a presence in all major financial centers in more than 50 countries.
Salary information
US Only: The expected salary range for this role is $140000 to $180000 based on factors including, but not limited to, experience, qualifications, education, location and skill level. Please see «Your role» section for detailed salary information.
