Role Purpose
Manage a team of HR analysts, statisticians, data scientists, and data modelers in using data to provide insights into HR performance and suggest areas and methods for improving operations. Translate the work of the Analytics function into findings for application by the broader business, including for use in strategic decision-making and planning. Implement analytical approaches and methodologies and assist in the interpretation of results.
RESPONSIBILITIES
Lead the implementation of data and analytics strategy by developing a data insights integration approach and process aligned to key business processes and decisions.
Interpret the HR need and identify solution recommendations to HR problems at function unit level. Lead the improvement efforts to be made that are within span of control at this level.
Take responsibility for developing and delivering a key element of the NEOM HR data management system.
Lead the performance and integration of highly sophisticated analytics to promote understanding of different business areas or critical business challenges/opportunities.
Set and lead execution of the data and analytics reporting plan, creating strategies and templates to report data in a meaningful way. Create, present, and communicate high-impact data and analytics insights and recommendations to critical internal and external stakeholders.
Identify and communicate the actions needed to implement the function's strategy and business plan within the business area or department; explain the relationship to the broader organization's mission, vision, and values; motivate people to commit to these tenets and do extraordinary things to achieve local business goals.
Manage and report on the performance of a substantial, diverse team; set appropriate performance objectives for direct reports or project/account team members and hold individuals accountable for achieving them; take appropriate corrective action where necessary to ensure the achievement of team/personal objectives.
Elicit complex business requirements using a variety of methods, such as interviews, document analysis, workshops, and workflow analysis, to express the requirements in terms of target user roles and goals.
Implement all aspects of data architecture, turning event analytics, raw application data, and business systems into key business insights.
Support creation of machine learning algorithms by applying standard statistical analysis or data preparation methods.
Use the organization's formal development framework to identify the team's individual development needs. Plan and implement actions, including continuing professional development specified by professional or regulatory institutions, to build their professional capabilities. Provide informal training or coaching to others throughout the organization in own area of expertise to enable others to improve performance and fulfill personal potential
EDUCATION
Bachelor's Degree or Equivalent Level
EXPERIENCE
Managerial Experience
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