Head of Data Science and MIS

JOB SUMMARY

Head of Data Science & MIS is responsible for defining and leading the enterprise-wide strategy for Data Science, Advanced Modelling, and Management Information Systems (MIS). The role drives the development of predictive and prescriptive analytics capabilities to support executive decision-making, enabling accurate, timely, and commercially impactful business decisions.

DUTIES AND RESPONSIBILITIES

• Lead, manage, and develop the Data Science and MIS teams to deliver high-impact modelling, analytics, and decision support capabilities across the organization.

• Provide strategic direction and oversight for the design, development, and validation of predictive and prescriptive models to support revenue growth and business optimization.

• Oversee the end-to-end lifecycle of analytics projects, ensuring alignment with business priorities, timelines, and performance targets.

• Mentor and strengthen team capabilities in advanced statistical modelling, machine learning, data engineering, and business intelligence.

• Develop executive dashboards and decision intelligence tools that translate complex analytics into clear, actionable insights for senior leadership.

• Integrate and analyze Big Data from omni-channel sources, including digital platforms, Super App, offline transactions, tenant data, and customer behavior touchpoints.

• Guide the team in translating analytical findings into executive-ready insights and decision frameworks.

• Foster cross-functional collaboration between Data, Commercial, Marketing, Operations, and IT teams to embed data-driven decision-making.

JOB SPECIFICATION

Education and Experience:

• Bachelor’s or Master’s degree, Statistics, Computer Science, Engineering, Mathematics, Business Analytics, or a related quantitative field.

• Minimum 10–15 years of progressive experience in Data Science, Advanced Analytics, Predictive Modelling, and MIS, with at least 5 years in a senior leadership role.

• Proven experience leading and scaling Data Science and Business Intelligence teams at an enterprise level.

• Strong track record in developing and deploying predictive and prescriptive models that drive measurable business outcomes.

• Experience designing and governing enterprise MIS and executive decision support systems.

• Demonstrated ability to translate complex analytical outputs into strategic business recommendations for senior executives.

• Experience in retail, loyalty programs, omni-channel ecosystems, digital platforms, or large-scale consumer data environments is highly preferred.

Required Skills/Abilities:

• Strong expertise in data modelling and machine learning

• Solid MIS and executive reporting knowledge

• Ability to translate data into business decisions

• Proven team leadership in Data Science / BI

• Proficiency in analytics tools (Python, R, SQL, BI)

• Strong commercial and stakeholder management skills