Roles and responsibilities
Team Management Develop and lead the Enterprise Analytics & Intelligence team by implementing team objectives and goals aligned with corporate strategy and corrective action plans if needed. Manage team members' development plans per their aspirations/capabilities and corporate needs. Market & Customer Intelligence Build a market and customer intelligence framework to monitor major global, regional, and local customer behavior trends. Structure data, develop a deep understanding of market trends and customer usage patterns, and translate it into business insight to be shared to support digital health services/assets/ecosystem development and marketing initiatives. Strategic Planning, Solutions Innovation & Performance Monitoring Develop and implement an Enterprise Analytics & Intelligence strategy at the corporate and service level aligned with company business objectives to achieve strategic goals focusing on profitable growth and client retention. Identify and implement new solutions to enhance the deliverables of the function. Investigate market demand, generate and contribute to innovation proposals that include market analysis, business justification, target customers and projected revenue, engaging, if needed, local markets. Manage and report on all services and set benchmarks and measures for key performance indicators of success. Report on effectiveness and adjust strategy as necessary to maximize results. Communicate and align plans and roadmaps with critical stakeholders, including IT Solutions teams, and hold them accountable for maintaining the best customer experience and achieving business impact. Go to Market Support business managers to analyze the market and customer base and identify new opportunities for existing products in the most consistent and standardized approach. Work closely with the PM&I and Digital Services teams to develop client and customer reporting and analysis for key market stakeholders, B-partners, and end customers. What you bring Education: Master’s Degree in related fields. Experience: A minimum of 6 years’ experience in Data Science, Predictive modelling, Insurance, TPA, Banking, or large E-comms. Physically fit to carry out duties. Legally permitted to work in the country of operations. Extensive hands-on experience in building and executing complex analytical and statistical projects and analyses using advanced statistical modelling techniques in a business setting. Experience in health insurance-specific/TPA predictive analytics is a strong plus. Desired candidate profile
Strategic Leadership and Vision: Develop Analytics Strategy:
Define the vision, strategy, and roadmap for analytics and business intelligence across the organization. Ensure alignment with corporate goals and objectives. Leadership of Analytics Function:
Lead, inspire, and manage the analytics and business intelligence teams, fostering a data-driven culture within the organization. Executive Collaboration:
Collaborate with senior leadership, including the
C-suite , to integrate analytics and intelligence into business decision-making and strategic initiatives. Data Governance and Compliance:
Ensure that analytics and data usage comply with industry regulations, privacy standards, and internal policies (e.g., GDPR, CCPA).
Data Strategy and Architecture: Data Integration:
Oversee the integration of disparate data sources (internal and external) to create a unified data platform that provides comprehensive and accurate insights. Data Quality Management:
Implement data governance practices to ensure that data is accurate, clean, consistent, and reliable for business decision-making. Data Infrastructure Oversight:
Oversee the design and management of the organization's data architecture, ensuring that the infrastructure supports both current and future analytics needs. Big Data and Cloud Strategy:
Manage large-scale data initiatives, including the implementation of big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud) to scale the analytics function.
Analytics and Business Intelligence (BI) Execution: Advanced Analytics:
Lead the implementation of advanced analytics solutions, including predictive analytics, machine learning, AI (artificial intelligence), and prescriptive analytics to uncover trends, optimize processes, and provide actionable insights. Business Intelligence Tools:
Oversee the use of BI tools (e.g.,
Tableau ,
Power BI ,
Qlik ,
Looker ) for reporting, data visualization, and decision support. KPI and Metric Development:
Define key performance indicators (KPIs) and metrics for various business functions and departments to monitor progress and performance. Insight Delivery:
Ensure that actionable insights are delivered in a timely manner to key stakeholders across the organization, enabling data-driven decision-making.
Team Management and Development: Build and Lead Teams:
Lead a high-performing team of data scientists, data engineers, business analysts, and BI professionals, guiding them to achieve business objectives. Talent Development:
Foster a culture of continuous learning by supporting the professional development of team members and ensuring they stay ahead of industry trends. Cross-Functional Collaboration:
Collaborate closely with other departments (e.g.,
Marketing ,
Sales ,
Finance ,
Operations ,
IT ) to understand their data needs and provide actionable insights that align with their goals.
Business Insights and Decision Support: C-Suite Reporting:
Provide senior executives with data-driven insights and actionable recommendations that support strategic decisions, investment choices, and business growth. Market Intelligence:
Oversee the collection and analysis of external market data to identify opportunities, trends, and competitive intelligence to inform business strategy. Customer Analytics:
Lead initiatives to analyze customer data (e.g., behavior, segmentation, lifetime value) to drive marketing, sales, and product decisions that enhance customer acquisition and retention.
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Team Management Develop and lead the Enterprise Analytics & Intelligence team by implementing team objectives and goals aligned with corporate strategy and corrective action plans if needed. Manage team members' development plans per their aspirations/capabilities and corporate needs. Market & Customer Intelligence Build a market and customer intelligence framework to monitor major global, regional, and local customer behavior trends. Structure data, develop a deep understanding of market trends and customer usage patterns, and translate it into business insight to be shared to support digital health services/assets/ecosystem development and marketing initiatives. Strategic Planning, Solutions Innovation & Performance Monitoring Develop and implement an Enterprise Analytics & Intelligence strategy at the corporate and service level aligned with company business objectives to achieve strategic goals focusing on profitable growth and client retention. Identify and implement new solutions to enhance the deliverables of the function. Investigate market demand, generate and contribute to innovation proposals that include market analysis, business justification, target customers and projected revenue, engaging, if needed, local markets. Manage and report on all services and set benchmarks and measures for key performance indicators of success. Report on effectiveness and adjust strategy as necessary to maximize results. Communicate and align plans and roadmaps with critical stakeholders, including IT Solutions teams, and hold them accountable for maintaining the best customer experience and achieving business impact. Go to Market Support business managers to analyze the market and customer base and identify new opportunities for existing products in the most consistent and standardized approach. Work closely with the PM&I and Digital Services teams to develop client and customer reporting and analysis for key market stakeholders, B-partners, and end customers. What you bring Education: Master’s Degree in related fields. Experience: A minimum of 6 years’ experience in Data Science, Predictive modelling, Insurance, TPA, Banking, or large E-comms. Physically fit to carry out duties. Legally permitted to work in the country of operations. Extensive hands-on experience in building and executing complex analytical and statistical projects and analyses using advanced statistical modelling techniques in a business setting. Experience in health insurance-specific/TPA predictive analytics is a strong plus. Desired candidate profile
Strategic Leadership and Vision: Develop Analytics Strategy:
Define the vision, strategy, and roadmap for analytics and business intelligence across the organization. Ensure alignment with corporate goals and objectives. Leadership of Analytics Function:
Lead, inspire, and manage the analytics and business intelligence teams, fostering a data-driven culture within the organization. Executive Collaboration:
Collaborate with senior leadership, including the
C-suite , to integrate analytics and intelligence into business decision-making and strategic initiatives. Data Governance and Compliance:
Ensure that analytics and data usage comply with industry regulations, privacy standards, and internal policies (e.g., GDPR, CCPA).
Data Strategy and Architecture: Data Integration:
Oversee the integration of disparate data sources (internal and external) to create a unified data platform that provides comprehensive and accurate insights. Data Quality Management:
Implement data governance practices to ensure that data is accurate, clean, consistent, and reliable for business decision-making. Data Infrastructure Oversight:
Oversee the design and management of the organization's data architecture, ensuring that the infrastructure supports both current and future analytics needs. Big Data and Cloud Strategy:
Manage large-scale data initiatives, including the implementation of big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud) to scale the analytics function.
Analytics and Business Intelligence (BI) Execution: Advanced Analytics:
Lead the implementation of advanced analytics solutions, including predictive analytics, machine learning, AI (artificial intelligence), and prescriptive analytics to uncover trends, optimize processes, and provide actionable insights. Business Intelligence Tools:
Oversee the use of BI tools (e.g.,
Tableau ,
Power BI ,
Qlik ,
Looker ) for reporting, data visualization, and decision support. KPI and Metric Development:
Define key performance indicators (KPIs) and metrics for various business functions and departments to monitor progress and performance. Insight Delivery:
Ensure that actionable insights are delivered in a timely manner to key stakeholders across the organization, enabling data-driven decision-making.
Team Management and Development: Build and Lead Teams:
Lead a high-performing team of data scientists, data engineers, business analysts, and BI professionals, guiding them to achieve business objectives. Talent Development:
Foster a culture of continuous learning by supporting the professional development of team members and ensuring they stay ahead of industry trends. Cross-Functional Collaboration:
Collaborate closely with other departments (e.g.,
Marketing ,
Sales ,
Finance ,
Operations ,
IT ) to understand their data needs and provide actionable insights that align with their goals.
Business Insights and Decision Support: C-Suite Reporting:
Provide senior executives with data-driven insights and actionable recommendations that support strategic decisions, investment choices, and business growth. Market Intelligence:
Oversee the collection and analysis of external market data to identify opportunities, trends, and competitive intelligence to inform business strategy. Customer Analytics:
Lead initiatives to analyze customer data (e.g., behavior, segmentation, lifetime value) to drive marketing, sales, and product decisions that enhance customer acquisition and retention.
#J-18808-Ljbffr
