Summary
Date Posted: Friday, August 14, 2020 , Base Salary: Not Disclosed

JOB DETAILS:
Old Mutual Kenya is based in Nairobi and is part of a larger group that offers solutions in long-term savings, asset management and investment. We offer solutions to individuals and corporates underpinned by our core values which are: Respect, Integrity, Accountability and Pushing beyond boundaries.
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. .

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

Job Skills: Not Specified

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 Education Requirements: Not Specified

Job Education Experience: Not Specified

Work Hours: 8

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