Personalization Analytics Lead at Old Mutual

ROLE OVERVIEW

• As the Personalization Analytics lead at the Bank, you will play a pivotal role in driving data-driven decision-making processes within the Personalization function.
• Reporting directly to the Head of Personalization, you will be responsible for leading a team of data scientists, analysts and business intelligence to manage our data estate, extract actionable insights from data, optimize experiences, and enhance customer engagement strategies.

KEY RESULT AREAS

• Develop and execute the Banks Personalization data strategy, ensuring alignment with overall business objectives and area goals.
• Lead the collection, analysis, and interpretation of Personalization data from various sources, including customer interactions, core IT systems, customer outcomes and market research.
• Manage the implementation, and integration of tools and platforms to support data collection and analysis.
• Utilize advanced analytics techniques to uncover trends, patterns, and opportunities for optimization across Personalization and potential new personalised use cases.
• Implement A/B testing methodologies to measure effectiveness of production level experimentation in order to inform data-driven adjustments to customer experiences.
• Collaborate closely with cross-functional teams, including Performance Marketing, Brand, Phygital Marketing, Onboarding, Credit Risk and CX, to integrate data-driven insights into decision-making processes.
• Design and implement robust measurement frameworks and KPIs to evaluate the effectiveness of Personalization initiatives and drive continuous improvement.
• Develop a deep understanding of the commercial levers within Personalization. Use this understanding to inform data-driven decision-making processes and optimize strategies for maximum ROI and business impact.
• Drive the development and maintenance of dashboards and reporting tools to provide real-time visibility into key performance metrics.
• Identify and prioritize data requirements for Personalization initiatives, working with internal and external stakeholders to ensure data accuracy, completeness, and compliance.
• Stay informed about industry trends, emerging technologies, and best practices in marketing analytics, and recommend innovative solutions to enhance our data capabilities.
• Mentor and develop a high-performing team of data analysts and insights specialists, fostering a culture of collaboration, learning, and excellence.

ROLE REQUIREMENTS

• Post graduate degree in Statistics, Data Science, or a related field.
• Minimum of 8- 10 years’ experience in analytics and data-driven decision-making, preferably within the financial services industry, and banking in particular.
• Minimum of 3 - 5 Years’ experience in a leadership role within an analytics environment.
• Strong proficiency in data analysis tools and techniques, including SQL, Python, R, or similar languages.
• Demonstrated expertise in data visualization tools such as Amazon QuickSight, Tableau, Power BI, or Looker.
• Experience in AWS native technologies
• Experience with customer data platforms, marketing automation platforms, CRM systems, and digital analytics tools.
• Comprehensive understanding of AB testing capabilities and technology, ensuring robust experimentation and learnings cadence
• Excellent communication and stakeholder management skills, with the ability to translate complex data insights into actionable recommendations for non-technical audiences.
• Strong leadership capabilities, with a track record of building and managing high-performing teams.
• Strategic mindset with a focus on driving business outcomes through data-driven marketing strategies.
• Ability to thrive in a fast-paced, dynamic environment and effectively manage multiple priorities.
• Experience operating within an agile environment would be advantageous.