Business Intelligence Director at Reliance HMO

Description

The Business Intelligence Director is responsible for leading a team of data scientists and analysts to drive business value through the use of data and analytics. The Business Intelligence Director will work closely with cross-functional teams to identify opportunities for data-driven insights and will be responsible for defining and executing the data science strategy.

Responsibilities

• Leading a team: This includes hiring, mentoring, and managing data scientists and analysts to ensure the team has the necessary skills to deliver business objectives.
• Defining and executing data science strategy: The Business Intelligence Director should be able to define and execute a data science strategy that aligns with business goals, leveraging state-of-the-art technology and techniques to improve business outcomes.
• Identifying and prioritizing data science opportunities: The Business Intelligence Director should work closely with cross-functional teams to identify opportunities for data-driven insights that can improve business outcomes and prioritize these opportunities based on their potential impact.
• Building data-driven models: The Business Intelligence Director should be able to build predictive models, data visualizations, and other data-driven tools that help the organization make informed decisions.
• Communicating insights: The Business Intelligence Director should be able to communicate insights and recommendations in a clear and concise manner to stakeholders, including non-technical team members.
• Managing data infrastructure: The Business Intelligence Director should have experience managing large and complex data infrastructure and be familiar with database management, data warehousing, and ETL processes.
• Staying up-to-date with industry trends: The Business Intelligence Director should keep up-to-date with the latest data science trends and research methodologies to ensure that data science practices are up-to-date and effective.

Requirements

• Minimum 7 years of experience as a data scientist, with particular focus on machine learning and NLP.
• Tertiary education from a recognised institution, in a quantitative field. A Master’s degree is preferred.
• Minimum of 3 years managerial experience
• Experience with analytics software tools or languages (R, Python, etc.) and machine learning techniques is a must
• Working knowledge of visualization platforms and customization (Power BI, Tableau etc) is a must
• Must be a highly analytical individual with a strong grasp of modern statistical methods
• Experience with full lifecycle data science projects is a must
• Experience with medical data is an added advantage
• Ability to work independently in a fast-paced environment
• Excellent oral and written communication skills