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Data Science & Analytics Manager

  • Job
    Senior Level
  • Data
  • Minneapolis

AI generated summary

  • You must be able to understand clients' business needs, realities, and pain points to become their trusted advisor in the realm of data.
  • You will lead data projects, analyze trends, develop solutions, manage teams, and apply data science techniques to drive business insights.


  • As a Data Science & Analytics Manager, you will focus on understanding your clients’ business needs, realities, and pain points, becoming their trusted advisor in the realm of data.


  • Client Needs Assessment: You will work closely with clients to understand their specific requirements, challenges, and objectives related to data and analytics. This involves identifying pain points and opportunities for improvement.
  • Conceptual Solutions and Architectures: You will define conceptual solutions, architectures, and operating models. This includes designing strategies to leverage data effectively, ensuring scalability, security, and compliance.
  • Project and Program Management: You will manage various data and analytics projects and programs from end to end. This involves overseeing project lifecycles, resource allocation, timelines, and deliverables.
  • Data Science and Machine Learning: As part of your role, you’ll apply data science techniques and machine learning models to extract valuable insights from data. This includes exploratory data analysis, feature engineering, model selection, and evaluation.
  • Robotic Process Automation (RPA): You’ll also leverage RPA tools and techniques to automate repetitive tasks, streamline processes, and improve operational efficiency. Collaborating with RPA developers and business analysts, you’ll identify automation opportunities and implement solutions.
  • Team Leadership: As a manager, you’ll lead teams of data specialists. You’ll collaborate with them to produce high-quality project deliverables, ensuring alignment with client needs and business goals.
  • Business Insights and Problem Solving: You’ll analyze purchase trends, customer data, and other relevant information to gain valuable business insights. Your role is to develop strategies that address challenges logically and creatively.


What are the main responsibilities of a Data Science & Analytics Manager in this role?

The main responsibilities of a Data Science & Analytics Manager include conducting client needs assessment, defining conceptual solutions and architectures, managing data and analytics projects, applying data science and machine learning techniques, using robotic process automation, leading teams of data specialists, and analyzing business insights and problem-solving.

What skills and qualifications are required for a Data Science & Analytics Manager?

To excel in this role, candidates should have a strong background in data science, analytics, and machine learning. Experience with project and program management, robotic process automation, team leadership, and problem-solving is also essential. Additionally, a degree in a relevant field such as computer science, data science, or statistics is typically required.

How does a Data Science & Analytics Manager contribute to the success of clients in the Financial Services sector?

A Data Science & Analytics Manager plays a crucial role in understanding clients' business needs, identifying opportunities for improvement, and implementing data-driven solutions. By leveraging data science techniques, machine learning models, and robotic process automation, they help clients gain valuable insights, streamline processes, and improve operational efficiency. Ultimately, their contributions lead to growth and success for clients in the Financial Services sector.

Piper Sandler (NYSE: PIPR) is a leading investment bank.

Founded Year

Mission & Purpose

Piper Sandler Companies (NYSE: PIPR) is a leading investment bank driven to help clients Realize the Power of Partnership®. Founded in 1895, the firm is headquartered in Minneapolis with more than 60 offices across the U.S. and in London, Aberdeen and Hong Kong. We offer a full suite of products to serve our clients’ business life cycle needs, geographic reach in an increasingly global market, and deep expertise in our core sectors.