Head Of People Intelligence Technology Services at Discovery Limited

Key Purpose

The head of people intelligence is in charge of defining the people analytics strategy, providing strategic insights, and the necessary tools to provide business intelligence on people-related matters.

In order to give the board and the business with crucial performance information, this function demands someone who can use big data, analytical insights, and research. This person can also create dashboards and intelligence that emphasise the main indications of HR performance. The Board, HR management, and the CEO of the company can set goals to measure and evaluate the quantifiable contributions of HR.

Areas of responsibility may include but not limited to

• Champions the strategic value of people analytics as a business asset, ensuring it is part of the corporate DNA in the Human Resources domain.
• Develop and drive the people analytics strategy in line with the business strategy and ensure analytics team’s outputs meet the business needs of all key stakeholders,
• Utilizes technology and analytical tools to develop and analyse enterprise-wide people and other cross-functional data as needed.
• Work with business leaders, technology, and data officers in prioritizing activities to drive data strategy and providing value to business.
• Work with Head of People Technology Services on defining a logical data landscape and use of data, identifying quick wins that can gain buy-in from business.
• Ensure analysis and actionable insights meet business objectives, and proactively identify trends, areas of opportunity, and efficiencies across the organisation.
• Designing best practice advanced people analytics delivery methodologies
• Manage a team of analytics and data professionals.
• Champion people analytics with other senior stakeholders across the business
• Maintain and manage relationships with external data consultants and vendors.
• Management of all data sources including implementation of the People Data Warehouse. Creates, maintains, and ensures quality assurance of key human resources data sets, reports, and metrics.
• Perform data manipulation and analytics on large datasets using various statistical tools and techniques.
•  Provides management support to the Human Resource function in the areas of people metrics, reporting, and advanced and predictive analytics.
• Supports the Human Resource leadership team to identify business challenges and use data analysis to help influence changes to the operations, process, or programs.
• Communicates findings to senior management via formal presentations, standard management reporting artifacts on periodic/quarterly/annual basis.
• Serves as the domain expert for human capital analytics.
•  Collaborates with subject matter experts across the HR service areas (learning and development, staffing, talent management, diversity, compliance) to promote data governance and stewardship, and to improve overall strategic and operational performance and insight.
•  Works as the key representative to the external benchmarks and key surveys supporting the HR function.

Problem Solving

• Clearly articulates the key questions / problems to be solved / hypotheses to prove and subsequently drives the required analysis in an efficient and effective way, pushing beyond the obvious 
• Provides quality assurance on data collection and helps identify creative sources of data where required.
• Consistently guarantees reliability of team analyses and conclusions drawn from them.

Communication & presence

• Runs presentations and facilitates discussions effectively, adapting to different audiences and handling difficult situations effectively.
• Supports the team to engage with various stakeholders and manage difficult conversations where necessary. 
• Effectively engages other business stakeholders to get buy-in for team ideas and remove roadblocks.
• Ensures the quality (clarity, succinctness, and accuracy) of all communications, including appropriateness for audience.
• Leads development of complete communications strategies, going beyond presentations and reports where needed.
• Identifies and raises roadblocks timeously, while providing possible solutions to these roadblocks

Content/Technical expertise

• Demonstrated breadth of understanding across multiple content / functional areas
• Uses expertise in technical areas and insights from cross-business discussions to guide projects.

Stakeholder relationships

• Manages relationships with senior "project sponsors" effectively, building long-term relationships with senior level stakeholders that encourage them to seek out special projects when they require support.
• Leads the team in handling complex/political client situations with positive outcomes.

Personal Attributes and Skills

• Customer service orientation, Results orientation, Conflict resolution, Negotiation skills, Time management, Professional communication (written, verbal, presenting and listening), Creativeness, Innovation, Stress management, Assertiveness, Tenacity

Education and Experience

• Bachelor's degree coming from a mathematics or computer science-related subjects, or significant demonstrable experience working with Data. Minimum of 8+ years of data analytics experience in a major services organization, or within a large data environment.
• A technical background in mathematics, statistics, computer science, data analytics or similar
• Proven leadership within Data Science/Advanced Analytics within industry and commerce, with one or more of the following sectors of significant interest: Telecommunications, Marketing, Technology, Financial Services, Retail
• Proven leadership capabilities across multiple functional disciplines. The ability to work on multiple projects and manage conflicting demands.
• Strong communicator with ability to both write and present powerfully, to senior stakeholders.
• Data management experience including traditional ETL knowledge, data quality, data governance etc.
• Reporting/visualisation e.g. PowerBI, Qlikview, etc
• Experience of Organisational deployment of Business Intelligence solutions including people, process, and technology factors
• Experience managing, mentoring, and developing talent.

Advantageous

• Experience using statistical and machine learning techniques e.g. regression, clustering, sampling, neutral network analysis etc.
• Knowledge of advanced analytics and data science tools e.g. SAS, R, ML Azure etc.