Imagine Staffing Technology

Business Data Consultant

Buffalo, New York, US

Role snapshot

Imagine Staffing Technology is hiring a Business Data Consultant on a full-time basis. This is a role based in Buffalo, New York, US.

Company
Imagine Staffing Technology
Location
Buffalo, New York, US
Job type
Full-time
Experience
5+ years
Posted
Nov 7, 2026

Who this role suits

Practitioners with a few years behind them who can work independently, make trade-offs and help newer teammates.

How to prepare your application

  • Prepare examples of decisions you drove, how you measured the result, and how you worked with other teams.
  • Be ready to discuss trade-offs and scope, not only the tools you have used.
  • Read what Imagine Staffing Technology publishes about its product or team, so you can say clearly why this role and this company.

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About the role

Job Description Job Description Job Title: Business Data Consultant Location: Buffalo, NY Hire Type:Contingent Pay Range: $75.00/hour Work Type: Full-Time Work Model: Remote Work Schedule: Monday - Friday, 8am - 5pm Recruiter Contact:Sean Pebbles Nature & Scope: Positional Overview The Imagine Group is recruiting for aBusiness Data Consultanton behalf of our client, a leading financial institution in Buffalo, New York, serving individuals, businesses, and communities across the eastern United States. Known for its strong regional presence, commitment to community engagement, and focus on long-term customer relationships, the organization offers a stable and collaborative work environment with opportunities for growth. In this role, you will be responsible for providing guidance to assigned business in implementing components of the Data Management Program in the areas of governance, quality, issue management, reporting, data architecture, solutions, analytics, or project management, and in alignment with the overall Enterprise Data Management Program. Role & Responsibility: Tasks That Will Lead to Your Success:
  • Manage implementation of the Data Management Program within assigned business unit, providing training to business line and technology personnel.
  • Facilitate data management-related working groups.
  • Develop an understanding of the data management practice, researching current industry trends.
  • Measure compliance with the business and Enterprise Data Management policy and standards for assigned units.
  • Work with assigned units to identify critical data elements and capture related metadata.
  • Monitor quality of data within assigned units, through measurement of enterprise-wide key performance/key risk indicators (KPIs/KRIs) to ensure effective data risk management.
  • Facilitate remediation of data management-related issues within assigned units.
  • Analyze large data sets to derive business insights to drive tangible business value.
  • Demonstrate usage of business and enterprise data management and business intelligence tools by relevant stakeholders.
  • Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the
  • Company's Risk Appetite. Identify risk-related issues needing escalation to management.
  • Promote an environment that supports diversity and reflects the brand.
  • Maintain internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
  • Complete other related duties as assigned.
Skills & Experience Qualifications That Will Help You Thrive
  • Bachelors degree and a minimum of 5 years relevant work experience, or in lieu of a degree, a combined minimum of 9 years higher education and/or work experience, including a minimum of 5 years relevant work experience.
  • Excellent verbal and written communication skills.
  • Demonstrated analytical ability.
  • Creative problem solving skills.
  • Strong project management leadership.
  • Experience coordinating cross-functional teams at various levels.
  • Proficiency in the use of spreadsheets, graphing, and presentations with a working knowledge of financial models.
  • Amperity.
  • SQL.
  • Data Governance.
Experience & Education preferred:
  • Masters Degree.
  • Minimum of 8