IT Manager: Service Engineering Enablement at Old Mutual

Job Description

• This role is responsible for  delivery of a variety of IT services to support business objectives and is individually accountable for achieving results through others, over periods of  3 months to a year. The IT Manager's business portfolio is smaller than that of a Senior IT Manager.
• This role is responsible for leading and nurturing a team of analysts, ensuring high-quality deliverables and efficient workflow. The manager will oversee the end-to-end delivery process, from task allocation to the final output, to support the company's goal of enhancing customer experiences and optimizing business operations through comprehensive data insights.

Responsibilities:

• Lead, mentor, and develop a team of data analysts, fostering a collaborative and high-performance culture.
• Manage the team's workflow, prioritizing tasks to meet business needs and ensuring timely delivery of high-quality analytical outputs.
• Oversee the design, implementation, and continuous improvement of analytical processes and methodologies.
• Ensure the accuracy, reliability, and relevance of the data and insights provided by the team.
• Collaborate with cross-functional teams in Omnichannel namely Marketing, Operations, Digital Media, Category and Merchandising and Finance, to identify data needs and translate business requirements into analytical solutions.
• Provide strategic insights and recommendations to senior leadership based on data analysis and trends.
• Monitor and evaluate the impact of data-driven decisions on business performance, making adjustments as necessary.

Requirements:

• 8+ years’ experience in a Data Analytics role
• 3 – 5 years Data Analytics experiences 
• 2+ years’ experience in a Data Analytics managerial role involving developing & managing analysts, leveraging analytics tools and at least one visualisation platform such as Qlik, PowerBI, etc.

Required Skills:

• Analytical Thinking: Ability to analyze complex data sets and derive actionable insights.
• Leadership: Proven ability to lead and motivate a team, driving performance and development.
• Project Management: Strong organizational skills to manage multiple projects and ensure timely delivery.
• Technical Proficiency: Advanced knowledge of data analytics tools and software.
• Communication: Excellent verbal and written communication skills to articulate data findings clearly and effectively.
• Problem-Solving: Strong problem-solving skills with a proactive approach to overcoming challenges.
• Collaboration: Ability to work effectively with cross-functional teams and stakeholders.
• Adaptability: Flexibility to adapt to changing business needs and priorities.
• Attention to Detail: Meticulous attention to detail to ensure data accuracy and quality of insights.
• Strategic Vision: Ability to think strategically and align data initiatives with business goals.