615 Manager Master Data Governance jobs in Pittsburgh,PA

High School diploma or equivalent education
1+ year of related experience, prior supervisory experience preferred
Ability to stand during entire shift, excluding meal and rest periods
Ability to move and lift 55 pounds
Ability, on a consistent basis, to bend/twist at the waist and knees
Ability, on a consistent basis, to communicate effectively with customers, vendors, and other team members
Ability, on a consistent basis, to perform work activities requiring cooperation and instruction
Ability, on a consistent basis, to function in a fast-paced environment, under substantial pressure
Ability, on a consistent basis, to maintain attention and concentration for extended periods of time
Ability, on a consistent basis, to work with minimal supervision
Ability, on a consistent basis, to report regularly to work and maintain established business hours in order to support the FedEx Office business; regular attendance and/or reporting could include regular attendance at a physical location and/or maintaining established business hours depending on the scope and nature of the position

Starbucks

Pittsburgh, PA 15289

3 years retail / customer service management experience
4+ years of US Military service
Legal documentation establishing your identity and eligibility to be legally employed in the country in which you apply.
Ability to work full time (the work regularly demands in excess of 40 hours per week) including variable hours including early mornings, evenings, weekends and/ or holidays.
Minimum High School or GED

BNY

Pittsburgh, PA 15219

Dollar General

Mc Kees Rocks, PA 15136

High school diploma or equivalent strongly preferred
One year of experience in a retail environment and six months supervisory experience preferred
Ability to drive own vehicle to the bank to deposit money

BNY

Pittsburgh, PA 15219

Bachelor's degree in Business, Finance, Engineering, or a related field.
Typically 5-10 years of experience.
Demonstrated understanding of AI/ML technologies, enterprise AI platforms, and data-driven products, with the ability to translate business requirements and technical concepts into product requirements, user stories, and prioritized backlogs.
Experience collaborating with cross-functional teams, including engineering, data science, analytics, operations, risk, compliance, and business stakeholders, to deliver technology products and solutions.
Knowledge of Agile product management principles and practices, including backlog management, requirements gathering, prioritization, sprint planning, dependency management, and product delivery.
Strong analytical, communication, and stakeholder management skills, with the ability to leverage data to measure product performance, drive continuous improvement, and support adoption of AI-enabled solutions in a regulated enterprise environment.