About the Role
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The position is responsible for leading the delivery and execution of enterprise data and analytics solutions. This includes oversight of business intelligence (BI), analytics, and data infrastructure teams to deliver accurate and integrated insights while aligning data initiatives with business goals.
Key Accountability Areas
Strategic Leadership in Data & Analytics:
- Define and drive the overall data and analytics strategy aligned with the organization’s vision, mission, and strategic objectives.
- Lead the development and execution of enterprise-wide data initiatives, ensuring integration across BI, analytics, and data infrastructure functions.
- Champion a data-driven culture by promoting the use of analytics in decision-making across business units.
Oversight of BI, Analytics, and Data Infrastructure:
- Oversee the design, development, and delivery of dashboards, reports, and visualizations that provide actionable insights.
- Guide the development of advanced analytics models and ensure their alignment with business needs.
- Ensure robust architecture and governance of data warehouses and data lakes to support scalable and secure data operations.
Stakeholder Engagement and Collaboration:
- Act as the primary liaison between the data & analytics function and business stakeholders to ensure alignment of data initiatives with business priorities.
- Translate complex data concepts into business-friendly language to support executive decision-making.
Innovation and Technology Enablement:
- Evaluate and implement emerging technologies and tools to enhance data capabilities across the organization.
- Foster innovation by encouraging experimentation with new data methodologies, tools, and platforms.
Data Governance and Quality Assurance:
- Establish and enforce data governance frameworks, policies, and standards to ensure data integrity, security, and compliance.
- Monitor data quality across systems and lead initiatives to improve data accuracy and reliability.
Role Accountability
HR Proficiency:
- Ability to recruit, recognize and cultivate high performers and expose them to create a robust second line of management.
- Ability to recognize low performers and guide them to improve or release them.
- Treat subordinates equally without any discrimination.
- Assessment criteria of subordinates is performance that leads to planned results.
- Ensure availability of delegation of authority matrix as per company policy.
Responsibility:
- Take full responsibility for operations as per the job description and the required deliverables from this position, considering general company guidelines.
- Anticipate problems and take necessary proactive steps to prevent them.
- Make necessary and proper timely decisions.
Delivery:
- Deliver required results in a timely manner with the required quality and cost.
Making a Tangible Difference:
- Make a tangible difference to the area of operation and exceed business expectations.
- Transform corporate goals into business plans.
- Plan, follow-up, and execute annual or development plans.
- Monitor plan performance and initiate action to strengthen results and take corrective actions accordingly.
- Provide periodic work progress reports.
- Monitor and control budgets and expenses to achieve optimum cost efficiency.
- Develop the organizational structure according to current requirements and future development plans.
- Ensure availability of job descriptions for all job roles and deploy them.
- Develop and coordinate well-defined written systems, policies, procedures, and seek automation opportunities.
- Be conversant and able to navigate through IT solutions relevant to the role and business.
- Promote automated systems and fully utilize them to spread this culture.
Quality:
- Quality is considered a key competitive advantage; managers are expected to act accordingly.
Academic Qualification
- Bachelor’s Degree in Computer Science or any relevant field.
Work Experience
- 6 to 10 years of relevant work experience.
Technical / Functional Competencies
- Business Analysis
- Big Data Analytics
- Data Mining
