Overview
On Site
USD 135,000.00 - 175,000.00 per year
Full Time
Skills
Requirements Elicitation
Product Ownership
Roadmaps
Visualization
Change Management
Decision-making
Training
Stakeholder Management
Agile
Management
Data Governance
Product Management
Analytics
Business Intelligence
Reporting
Generative Artificial Intelligence (AI)
Functional Requirements
Business Process
Communication
Leadership
Critical Thinking
Data Analysis
Data Warehouse
Extract
Transform
Load
SQL
Python
R
Data Visualization
Tableau
Microsoft Power BI
Semantics
Data Marts
Data Modeling
ERwin
ER/Studio
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Data Quality
Artificial Intelligence
Natural Language Processing
Machine Learning (ML)
Evaluation
Wealth Management
Corporate Banking
Asset Management
Finance
Collaboration
Recruiting
Job Details
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 $135000 to $175000
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.
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, Google Cloud Platform) 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.
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.
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 $135000 to $175000
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.
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, Google Cloud Platform) 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.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.