Analytics & Insights Manager - Personalization Services at Old Mutual Kenya

Introduction

This role is accountable for conceptualising, designing and implementing strategic plans through the effective management of projects and or team/s through Data Analytics. Compiles 1-3 year plans for Agile Project Teams, based on broader business plan. To promote our leadership behaviours and focus on talent development.

Minimum Requirements

•  Matric with relevant tertiary qualification (MBA or BSc / BBus Science / BCom)
• 10+ years’ experience in analytical or statistical environment
• Minimum of 5 years demonstrated, relevant experience in a large, complex organization preferably in the financial services industry
• Proven experience with customer journeys, demonstrated strong skills in data science, analytics & statistical modelling
• Good appreciation of customer experience
• Experience working in a collaborative multi-disciplinary team within an interactive process and/or an Agile development methodology
• Ability to thrive in a fast-paced environment, comfort in a dynamic and fast-moving work environment.
• Excellent communication skills
• Ability to build relationships and engage with various stakeholders to drive value proposition.

Job Specification

• Strategic
  • Enables thorough Data Analytics, the Digital & Data leadership team on delivery of designated projects, managing the implementation of the agreed deliverables.
  • Sets & communicates strategic direction, excites people around the vision and goals and aligns diverse, cross-functional and cross-border teams to achieve success.
  • Lead projects and provide strategic direction across the account to deliver a superior client experience.
  • Collaborate and influence internal stakeholders to make decisions that positively impact return on investment; provide subject matter expertise on leading best practices.
  • Leveraging agile ways of working in creating cross-functional multi-disciplinary teams to deliver return on investment in a Customer Centric business
  • Business Translator:  Bridging the technical expertise of Data engineers and Data scientists with the Operational expertise of business
• Customer
  • Collaborate with business to articulate business challenges and translate these into actionable initiatives.  Communicating and present analysis results to key stakeholders across organisational levels
  • Accountable for thought leadership and best operating practice in response to external an internal environment in the area of Data Analytics.
• Operational Effectiveness
  • Manages day-to-day deliverables of agile delivery teams on designated projects.
  • Leads delivery of team based on the SLA and identifies and addresses any areas of concern in outputs.
  • Builds a high performance culture by cultivating individual and team strengths; drives outstanding client service, often through large cross-business and/or cross functional teams.
  • Ability to employ a business-oriented mind-set and use data-driven solutions to drive transformation agenda and achieve results
• Management Effectiveness
  • Defines and implements best operating practice in Data Analytics as well as provide thought leadership on Data Analytics
  • Defines performance parameters (including balanced scorecard) and measurements for area under supervision.
  • Holds first line managers accountable for managerial work, including selection, performance management and talent management
  • Drives operational excellence through area of supervision.
  • Focus on talent development to sustain pipeline and creating future capability
  • Manages a team of 5 – 6 specialists in the data analytics field or project manages work streams relating to field of expertise