Data-Driven Strategy Executive
4 days ago
This is an IT support group looking for a talented Data-Driven Strategy Executive to drive the development, governance, and execution of our operations department's strategic priorities.
Key Responsibilities:- Strategy Development & Execution:
- Support the development of annual strategic plans, presentations, reports, and memos for leadership and forums.
- Align operations strategic goals with initiatives that deliver measurable benefits and transformation.
- Evaluate new strategic initiatives, define KPIs, assess options for decision-making, and ensure strategic goals deliver measurable benefits.
- Business Analytics & Insights:
- Gather, clean, and analyze internal and external data to extract meaningful insights and drive data-driven decision-making.
- Develop and maintain dashboards and reports to track key performance metrics and provide real-time insights to stakeholders.
- Provide recommendations based on data-driven analysis to improve business processes and strategic outcomes.
- Strategic Reporting & Monitoring:
- Develop best-in-class reporting frameworks and analytics dashboards to provide real-time tracking of strategic initiatives and operational performance.
- Generate regular and ad-hoc reports to monitor operational performance, strategic progress, and transformation initiatives.
- Identify risks and proactively highlight challenges/opportunities based on reporting insights.
- Stakeholder Engagement & Communication:
- Act as a trusted advisor to senior management, providing insights and guidance on strategic planning and business performance.
- Collaborate with local, regional, and cross-functional teams to align data analytics with strategic goals.
- Create impactful presentations and reports for executive leadership, translating complex data into concise and meaningful insights.
- Process Optimization & Innovation:
- Drive continuous improvement in reporting and analytics processes by implementing automation and best practices.
- Enhance data extraction accuracy, governance, and documentation for improved reliability and efficiency.
- Bachelor's degree in Business, Finance, Data Analytics, Actuarial Science, or related field.
- 5-8 years of relevant experience in financial services (life insurance industry preferred), with a strong background in strategy, business analytics, and data-driven decision-making.
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