Overview
The Programme Management Officer will be responsible for developing, implementing, and evaluating assigned programmes and projects, and performing consulting assignments to manage change within the organization.
Key Responsibilities
- Develops, implements and evaluates assigned programmes/projects, monitors and analyzes programme/project development and implementation, reviews relevant documents and reports, identifies problems and issues and initiates corrective actions, liaises with relevant parties and ensures follow-up actions.
- Performs consulting assignments by planning and facilitating workshops, assisting in developing action plans for change management.
- Researches, analyzes and presents information gathered from diverse sources.
- Coordinates policy development, including review and analysis of issues and trends, preparation of evaluations or other research activities and studies.
- Generates survey initiatives, designs data collection tools, reviews, analyzes and interprets responses, identifies problems/issues and prepares conclusions.
- Organizes and prepares written outputs, such as draft background papers, analysis, sections of reports and studies, and inputs to publications.
- Collects and analyzes data to identify trends or patterns and provides insights through graphs, charts, tables and reports using data visualization methods.
- Coordinates cross-functional initiatives to ensure successful execution of business transformation, process improvements and change initiatives, adhering to timelines and budgets.
- Ensures that business transformation, process improvements and change initiatives comply with relevant industry standards and organizational policies.
- Conducts thorough analyses of existing processes to identify bottlenecks and areas for improvement, leveraging data to inform decision-making.
- Proactively develops fund-wide initiatives and applies innovative methods and approaches to solve complex business challenges.
- Engages with relevant stakeholders across the Fund to communicate change initiatives, manage expectations, gather input and feedback on process changes, ensuring alignment with organizational goals.
- Develops training materials and workshops to enhance staff understanding of new processes and best practices, promoting a culture of continuous improvement.
- Implements a framework for monitoring the effectiveness of process optimisation and automation initiatives, tracking progress against predefined Key Performance Indicators (KPIs).
- Encourages continuous improvement by regularly reviewing and refining processes based on feedback and performance data.
- Conducts impact assessments to understand the implications of changes on staff, processes, and organizational culture.
- Utilizes structured methodologies to manage change processes effectively, ensuring minimal disruption during transitions.
- Fosters a culture of innovation by staying informed on industry trends and technologies including AI, advising on emerging opportunities that can further the organization’s digital transformation goals.
- Performs other duties as required.
Required Experience
- A minimum of seven years of progressively responsible experience in business and digital transformation, change management or related areas is required.
- Demonstrated proven experience in process optimisation and automation in a complex organizational setting is required.
- Excellent communication and stakeholder management skills in cross-functional, matrixed environments, with a proven ability to translate complex technical concepts into clear, accessible language for non-technical audiences is required.
- Experience in the financial services, pension fund, or insurance industry is desirable.
- Experience in the United Nations system or comparable international organizations is desirable.
- Knowledge and experience in AI, Robotic Process Automation and other automation tools, CRM, ERP, Pension Administration systems and data analytics are desirable.
Qualifications
- Advanced university degree (Master’s degree or equivalent) in business administration, management, information technology, computer science, economics or a related field. A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree.
- Successful completion of both degree and non-degree programs in artificial intelligence, data analytics, business analytics or data science programs is an advantage.
- Relevant certifications in process management (e.g., Agile, Lean, Six Sigma, etc.) is desirable.
- Relevant certifications in change management (e.g., Prosci, etc.) is desirable.
- Relevant certifications in project management (e.g., PMP, PRINCE2) and AI/ML (e.g., AI certification programs, data analysis and data science certifications) is desirable.
