Job Role
Responsible for driving the development and implementation of a Data-driven strategy for Short Term Insurance to enable growth and efficiency in the business and support, and drive the implementation of Data governance structure in the business.
The channel is focused around optimizing Adviser performance and improving customer engagement in a short-term insurance sales distribution environment.
This role requires a blend of Technical expertise and Interpersonal skills to bridge the gap between business objectives, technical teams, and multiple stakeholders, ensuring data products deliver measurable business value.
Responsibilities
Data Product Ownership
- Define and prioritize the data product backlog in alignment with business goals.
- Translate business needs into actionable data solutions, ensuring they drive value in broker engagement and sales effectiveness.
- Collaborate with business, IT, and analytics teams to deliver data products on time and within scope.
Data Analytics and Visualization
- Leverage predictive modeling to identify trends, forecast outcomes, and support decision-making processes.
- Oversee the creation of dashboards and reports in tools such as Qlik Sense and Power BI to provide actionable insights to brokers and sales teams.
- Ensure data accuracy, integrity, and relevance across all platforms.
Stakeholder Engagement
- Act as the primary liaison between business teams, brokers, and technical teams to ensure alignment of objectives.
- Educate and guide stakeholders on the value and use of data-driven solutions to improve decision-making and performance.
Team Leadership and Collaboration
- Lead and mentor cross-functional teams to deliver high-impact data products.
- Foster a culture of collaboration and continuous improvement within the team.
Strategic Initiatives
- Support brokers by delivering solutions that enhance lead management, customer profiling, and operational efficiency.
- Drive the adoption of analytics and data tools within the business to support broader strategic goals.
Requirements
Qualifications & Experience
- Bachelors degree in Data Science, Computer Science, Business Analytics, or a related field.
- 5+ years of experience in Data Product Ownership, Business Intelligence, or a related role in Sales Distribution or Insurance.
- Hands-on experience with QlikSense, Power BI, and predictive modeling tools.
- Demonstrated success in leading cross-functional teams and managing multiple stakeholders.
Technical Skills and Requirements
- Understanding in Predictive Modeling:– Proficiency in building and applying predictive models to
support sales forecasting and customer profiling.
- Data Visualization:- Advanced knowledge of QlikSense and Power BI, with a strong ability to create dynamic dashboards and visualizations.
- Data Analytics:– Experience in analyzing large datasets to extract insights and identify opportunities for business improvement.
- Database and Querying Skills:- Proficiency in SQL or similar tools to query and manipulate data.
- Project Management:- Familiarity with Agile methodologies and tools to manage product backlogs and delivery timelines.
- Technology Awareness:- Knowledge of data pipelines, integration tools, and cloud-based solutions for data storage and analysis.
Interpersonal and Behavioral Skills
Business Education and Advocacy
- Ability to translate complex technical concepts into simple, actionable insights for business stakeholders.
- Passion for educating teams and brokers on the value and application of data-driven solutions.
Stakeholder Management
- Strong ability to engage with diverse stakeholders, including brokers, sales teams, IT teams, and executives.
- Exceptional skills in building trust and managing expectations in a multi-stakeholder environment.
Leadership and Team Collaboration
- Proven ability to lead and inspire cross-functional teams, driving alignment and productivity.
- A collaborative mindset to foster teamwork and facilitate problem-solving in dynamic settings.
Adaptability and Problem-Solving
- Comfortable working in a fast-paced, constantly evolving environment.
- Proactive and resourceful in identifying and addressing challenges, ensuring project success.
Communication Skills
- Excellent verbal and written communication skills to articulate data insights and influence decision-making.
- Strong presentation skills to engage business and technical audiences effectively.
