Supports the design, implementation and ongoing operation of Invesco’s global investment governance framework.
Responsibilities
Provide first-line ownership of investment-related policies, standards, procedures, and guidance.
Coordinate the intake, assessment, triage, escalation, and governance of investment and trading incidents.
Ensure consistency of incident records to support better management information and reporting.
Map investment lifecycle activities and material risks across relevant asset classes and develop playbooks and checklists to support effective risk management and improved decision-making.
Produce management information, dashboards, and committee reporting on a variety of governance topics.
Requirements
Bachelor’s degree in finance, economics, accounting, business, risk management, law or a related discipline, or equivalent practical experience.
The Senior ScrumMaster (SSM) is a dedicated facilitator and servant leader, coaching and guiding technical and non-technical teams in the successful delivery of quality solutions related to project and non-project work utilizing Blue Cross Blues Shield of Kansas (BCBSKS)-standard processes.
Locations (3)
Topeka, Kansas, United States
Kansas, United States
Missouri, United States
Compensation
$96,240 - $114,300
Responsibilities
Daily Scrum
Backlog Grooming
Sprint Review
Sprint Planning
Sprint Retrospective
Requirements
High school diploma or equivalent
Bachelor's degree or equivalent in computer science, information systems, business administration, engineering or related field
Lead architecture and delivery of secure, scalable IT/OT, Industrial AI, plant connectivity, and Smart Manufacturing solutions.
Responsibilities
Lead architecture and delivery of secure, scalable IT/OT, Industrial AI, plant connectivity, and Smart Manufacturing solutions.
Define reference architectures connecting OT assets, PLCs, DCS, SCADA, historians, MES/MOM, edge, enterprise, and cloud platforms.
Assess brownfield/greenfield environments and define current, target, transition, and deployment architectures.
Translate manufacturing needs into connectivity, data, contextualization, integration, analytics, and AI solutions.
Design industrial data pipelines for real-time and historical production, quality, maintenance, energy, event, and time-series data.
Requirements
Bachelor's or Master's degree in Electrical Engineering, Electronics and Communication, Instrumentation, Automation, Control Systems, Computer Science, Information Technology, Mechatronics or related discipline