Sr. Manager, Data Science & Analytics (18-Month Maternity Leave Contract)

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Join TransUnion as a Sr. Manager, Data Science & Analytics

Company: TransUnion

Job Title: Sr. Manager, Data Science & Analytics (18-Month Maternity Leave Contract)

Discover Your Future at TransUnion

At TransUnion, we're dedicated to uncovering how information can empower smarter decision-making. As a global leader in information solutions, our mission is to transform access to opportunities, enhancing the quality of life for individuals worldwide. We assist organizations in optimizing risk-based decisions while enabling consumers to manage their personal data more effectively. By offering complete and multidimensional information, we support informed decision-making and the achievement of remarkable goals.

Why Work with Us?

Every day, TransUnion equips our employees with the necessary tools and resources to innovate the use of information. From aiding businesses in risk management to helping consumers qualify for their first mortgage, and assisting law enforcement in creating safer communities, we strive to improve life quality globally.

What You’ll Bring to the Role

We are seeking a talented individual who meets the following qualifications:

  • Master’s degree or equivalent in analytical fields like economics, finance, mathematics, operations research, or statistics.
  • Minimum of 8 years in various analytical roles, with at least 4 years in credit, financial services consulting, or the financial services industry.
  • Direct client-side business experience is preferred.
  • Outstanding analytical and consulting skills.
  • Minimum of 3 years managing analytical professionals.
  • Experience within a matrixed organization is preferred.
  • Proven ability in defining and executing analytic solution strategies.
  • Significant experience with credit risk in financial services and regulated environments.
  • Excellent oral and written communication skills and the ability to influence and persuade stakeholders.
  • Strong presentation skills to diverse audiences.
  • Self-starter with innovative thinking and the ability to drive organizational change.
  • Proficiency in Microsoft Office and at least 5 years of experience with SAS, R, or Python.
  • Experience with Hadoop, Spark, and other modern analytical tools and frameworks.
  • Willingness to travel domestically and internationally as needed.

The Impact You'll Make

As a Sr. Manager, Data Science & Analytics, your responsibilities will include:

  • Defining and achieving stakeholder agreement on a three-year analytics strategy.
  • Developing analytic solution roadmaps to exceed revenue targets.
  • Identifying market trends and formulating strategies to increase market share.
  • Leveraging and adapting global best practices to local market needs.
  • Designing solutions for customers by applying analytical and technical knowledge.
  • Collaborating with sales and marketing to align analytics strategies with go-to-market initiatives.
  • Working with customers to meet their short- and long-term analytic needs.
  • Overseeing the development of custom and generic analytical services.
  • Ensuring successful delivery of new analytic product innovations on time and within budget.
  • Leading a team of managers and seasoned professionals.
  • Maintaining effective communication internally and externally to meet project goals.
  • Representing the business unit at various forums and industry conferences.
  • Developing an annual budget and justifying investments to maintain and expand analytical capabilities.
  • Driving efficiency and profitability within the department.
  • Managing the hiring, training, and development of associates.
  • Building a robust talent pipeline and nurturing relationships with universities and professional associations.

Join Us

This role is hybrid, requiring a minimum of two days per week in-person at an assigned TU office location. We accommodate applicants with disabilities in compliance with applicable laws.

TransUnion's Internal Job Title: Sr. Manager, Data Science and Analytics