Senior Identity Management Specialist

Objective Support the Project Lead in scope definition by understanding the overall objective and constraints in the field of Identity Management. Requirements are collected and transformed into a structured and comprehensive work product.
The job holder will be responsible for developing and owning the benefits profile through to metrics and ensuring business ownership. Additionally, they will provide guidance on Mainframe Lam processes, data and roles.

Key Responsibilities:
• Define clear acceptance criteria which can serve as a comprehensive test set.
• Analysis of Target Operating Model and implementation/migration approach, to refine and validate scope and requirements, to identify changes.
• Organise BA resources, identify and direct ownership of solution domains.
• Develop view of BA resource demand/capacity through the Epic lifecycle.

Skills and Qualifications:
We're looking for a candidate with 3 to 5 years of experience as Senior Business Analyst to be able to produce the required work products. Understanding of Identity Management including access provisioning, role-based access control, joiner/mover/leaver activities, ServiceNow integrations, knowledge of access control models and policies, security protocols and standards such as SAML, OAuth is essential.
• Experience of onboarding applications in an IAM tool
• Experience of Lam for Mainframe applications and security sub-system data models
• Analytical and critical mindset, with a strong attention to detail
• Excellent communication skills (listening, writing, presenting) at all levels, from team members to senior management level
• Ability to build relationships with stakeholders to understand and meet their requirements
• Strong negotiation and conflict management skills
• Problem-oriented and solution-driven
• Flexibility and continuous improvement
• Understanding of agile methodology and ability to work in an agile environment
• Experience with data analysis tools and techniques, statistical data modelling and data visualization
• Knowledge in data management principles and practices
• Understanding of data quality and governance principles
• MS Office, Tableau and Power BI proficiency