Org. Setting and ReportingThe United Nations Secretary-General is responsible for the investment of the assets of the United Nations Joint Staff Pension Fund (UNJSPF). The Secretary-General has delegated this responsibility to the Representative of the Secretary-General for the investment of the assets of the UNJSPF (RSG). The RSG is, in turn, assisted in this function by the Office of Investment Management (OIM). OIM manages a $100+ billion multi-asset class, global investment portfolio, about 85% of which is actively managed in-house. Asset classes under management comprise of global equities, fixed income, foreign exchange, private equity, real estate, infrastructure, timber and commodities. OIM’s staff are all based in New York and come from over 40 countries. For more information please visit OIM's website at https://oim.unjspf.org/. This position is located in the Data Analysis and Business Applications (DABA)Team of OIM. The incumbent reports to the Chief Operating Officer. ResponsibilitiesWithin delegated authority, the Chief of DABA will be responsible for the following duties: • Provide strategic advice and guidance on the development and implementation of databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality. • Guide team members to identify, analyse, and interpret trends or patterns, using statistical methods to identify relevant features and variables in structured and unstructured sources of information and data. • Provide direction and guidance on the full data lifecycle analysis including data requirements, activities and design. • Guide the development of data analysis prototype solutions and lead their full implementation. • Conceptualize and guide the creation of data management tools for analytics and data scientist teams to better build and optimize products. • Develop and review procedures to ensure the optimal extraction, transformation, and loading of data from a range of sources into existing data pipelines. • Define organizational needs and translate them to strategic reporting documents ensuring alignment with broader goals while overseeing quality and strategic integration of analytics into decision-making. • Define the strategic objectives for data infrastructure across the organization, ensuring alignment with overarching goals and the efficient use of datasets, lead cross-departmental collaborations to shape and steer data engineering projects. • Guide the implementation of changes to data systems to ensure compliance with data governance, protection, privacy, and security requirements in collaboration with key stakeholders. • Regularly review and provide guidance on updates to data governance, protection, and security requirements. • Guide effective documentation of requirements, processes, and solutions to ensure process orientation, transparency, collaboration, and ongoing development enabling the team to understand, maintain, and build upon the completed works. • Define strategic vision for data visualization within the organization, ensuring visual communication aligns with broader organizational goals and effectively conveys insights to decision-makers and stakeholders. • Manage strategy development for key data analytics projects and oversee strategy execution. Ensure that appropriate processes and techniques for each project are used by team members. • Provide guidance on the development and dissemination of outreach and communications materials to enhance visibility and foster collaboration. • Collaborate with management to prioritize organizational data analytics and information needs. • Communicate complex data concepts and share analysis findings and insights in a clear and understandable manner to non-technical stakeholders. • Direct the strategic application of data science across the organization, ensuring initiatives align with overarching goals to foster innovation and operational excellence. • Keep abreast of the current and emerging trends and developments in data analytics best practices, technologies and tools to determine areas of improvement in the organization. • Review implemented data analytics models against technical and strategic criteria to ensure alignment with global best practices and policy while fostering sustainable and scalable solutions to global challenges. • Provide direction and guidance on activities aimed at building capacity of staff on data analytics, including trainings for staff members and other personnel. • Provide guidance on the design and/or delivery of the trainings and workshops on data analytics tailored to different audiences as appropriate. • Plan and direct the work plan on data analysis, providing both methodical and managerial supervision of all activities. • Manage and coordinate the activities of the team, including hiring, training, assigning tasks and responsibilities, evaluating performance, and ensuring that deadlines are met. • Plan and manage required resources to implement the responsibilities, projects, and activities. • Oversee and mobilize resources to the building of analysis, reporting and quality control capabilities within the organization. • Lead data analytics responsibilities for external and internal audits. • Provide guidance to team members to promote professional development and a positive team culture. CompetenciesCompetencies: • Professionalism: Excellent analytical skills with the ability to collect, organize, manage, and disseminate significant amounts of information with attention to detail and accuracy. The ability to analyze, model and interpret data in support of decision-making. Adept at queries, report writing and presenting findings. The ability to manage teams and quality-check work completed by other team members. The ability to provide teams with strategic direction. Takes pride in the work for the organization and understands the impact that can be brought into the organization by allowing data-driven and evidence-based decisions. Ability to apply judgment in the context of assignments given, plan own work and manage conflicting priorities. Shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work. Provides leadership and takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work; demonstrates knowledge of strategies and commitment to the goal of gender balance in staffing. • Creativity: Actively seeks to improve programmes or services; offers new and different options to solve problems or meet client needs; promotes and persuades others to consider new ideas; takes calculated risks on new and unusual ideas; thinks “outside the box”; takes an interest in new ideas and new ways of doing things; is not bound by current thinking or traditional approaches. • Technological Awareness: Keeps abreast of available technology; understands applicability and limitation of technology to the work of the office; actively seeks to apply technology to appropriate tasks; shows willingness to learn new technology. Managerial Competencies: • Building Trust: Provides an environment in which others can talk and act without fear of repercussion; manages in a deliberate and predictable way; operates with transparency; has no hidden agenda; places confidences in colleagues, staff members and clients; gives proper credit to theirs; follows through on agreed upon actions; treats sensitive or confidential information appropriately. • Managing Performance: Delegates the appropriate responsibility, accountability and decision-making authority; makes sure that roles, responsibilities and reporting lines are clear to each staff member; accurately judges the amount of time and resources needed to accomplish a task and matches task to skills; monitors progress against milestones and deadlines; regularly discusses performance and provides feedback and coaching to staff; encourages risk-taking and supports creativity and initiative; actively supports the development and career aspirations of staff; appraises performance fairly. EducationAdvanced university degree (Master’s degree or equivalent) in computer science, data science, analytics, statistics, information management, public administration, management or a related field. A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree. Knowledge of data tools such as Power BI, Data Warehouse and Data Lakes is required. Knowledge of programming languages like Python, R, SQL, or Java for data manipulation and automation is desirable. Job - Specific QualificationNot available. Work ExperienceA minimum of ten years of progressively responsible experience in data manipulation and data analysis such as data structures, statistical methods, etc. is required. At least ten years of experience in the data life cycle including data collection, data wrangling, analysis, visualization, deployment, monitoring, and reporting is required. At least five years of experience managing large organization-wide projects with a proven ability to think critically, analytically, communicate complex and technical matters to diverse audiences and to troubleshoot complex data problems is required. At least five years of experience in using data to guide decisions, develop strategic direction, and oversee execution is required. Experience translating business requirements into technical solutions in the financial sector is required. LanguagesEnglish and French are the working languages of the United Nations Secretariat. For this job opening, English is required. The table below shows the minimum required level for each skill in these languages, according to the UN Language Framework (please consult https://languages.un.org for details).