Senior Manager - Insights

Summary

Data Strategy And Enterprise Analytics

• Develop and implement an enterprise wide analytics and insights strategy aligned with Finance House’s strategic objectives and digital transformation roadmap.
• Identify and prioritize high value analytics initiatives across Consumer Financial Services, Corporate Finical Services, Finance, Operations, Risk, Compliance, and Marketing.
• Lead the design, development, and deployment of advanced analytics, predictive models, AI enabled insights, and business intelligence solutions.
• Drive enterprise adoption of data driven decision making through actionable insights, intelligent reporting, and predictive analytics.
• Utilize AI-enabled analytical tools and automation technologies to enhance forecasting, trend analysis, customer behaviour insights, and business performance monitoring.
• Support executive management with strategic forecasting, scenario analysis, profitability insights, and operational performance evaluations.

Business Intelligence And Insights Delivery

• Translate complex datasets into meaningful business insights using descriptive, diagnostic, predictive, and prescriptive analytics techniques.
• Develop executive dashboards, KPI scorecards, automated reporting frameworks, and interactive visualization solutions using Power BI, Tableau, SQL, Python, and related technologies.
• Leverage AI powered analytics and intelligent automation capabilities to improve reporting efficiency, data accuracy, and insight generation.
• Establish enterprise performance monitoring frameworks and analytics standards across the organization.
• Provide analytical support for business growth initiatives, customer segmentation, product optimization, fraud monitoring, operational efficiency, and revenue enhancement programs.
• Evaluate emerging analytics and AI enabled technologies that can strengthen business intelligence and enterprise reporting capabilities.

Governance, Compliance, and Data Management

• Ensure analytics activities comply with UAE Central Bank regulations, data privacy laws, cybersecurity standards, and enterprise governance frameworks.
• Promote data quality, integrity, consistency, and standardization across all reporting and analytics environments.
• Support the development and implementation of enterprise data governance policies, reporting controls, and analytics standards.
• Coordinate with Risk, Compliance, Internal Audit, and IT teams to ensure effective governance over analytics platforms, data usage, and reporting processes.
• Monitor and mitigate risks associated with data quality, reporting accuracy, automated analytics processes, and AI enabled insight generation.

Stakeholder Management And Collaboration

• Act as a strategic business partner and internal advisor to senior management on analytics opportunities and data-driven business strategies.
• Collaborate closely with IT, Digital Transformation, Finance, Risk, Compliance, Operations, and Product teams to integrate analytics into core business processes.
• Present analytical findings, trends, AI enabled insights, and strategic recommendations to executive leadership and governance committees.
• Support enterprise transformation initiatives through data backed insights and performance measurement frameworks.

Leadership And Capability Development

• Build, lead, mentor, and develop a high-performing analytics and business intelligence team.
• Foster a culture of innovation, analytical excellence, continuous improvement, and knowledge sharing.
• Drive capability development in advanced analytics, data visualization, AI enabled analytics tools, and emerging reporting technologies.
• Establish performance objectives, succession planning, and structured development programs for the analytics team.

Performance And Continuous Improvement

• Define and monitor KPIs to measure the effectiveness and business impact of analytics initiatives.
• Continuously improve reporting automation, analytical models, data visualization capabilities, and business adoption of analytics solutions.
• Identify opportunities to enhance operational efficiency and optimize enterprise decision making through advanced analytics, intelligent reporting, and automation technologies.

Core Competencies And Skills

• Strong expertise in SQL, Python, Power BI, Tableau, and advanced analytics platforms.
• Understanding of AI enabled analytics, predictive analytics, intelligent automation, and emerging business intelligence technologies.
• Strong understanding of data governance, reporting frameworks, and visualization techniques.
• Excellent analytical thinking, problem solving, and stakeholder management capabilities.
• Ability to communicate complex analytical concepts and insights in business friendly language to executive stakeholders.
• Strong leadership, strategic planning, and cross-functional collaboration skills.
• Strong business acumen with a data-driven and innovation focused mindset.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Business Analytics, Engineering, or a related discipline.
• Certifications in data platforms, business intelligence tools, or project and program management (e.g., PMP, CDMP, CAP) are a plus.

Experience

• 10+ years of experience in data analytics, business intelligence, or data science, with at least 2 to 3 years in a managerial or lead role.
• Experience in banking, fintech, or other regulated sectors preferred.
• Proven success in delivering data analytics initiatives that influence strategic and operational outcomes.