
Chief Data Architectural Strategist
6 days ago
Job Overview
This role bridges the gap between complex business needs and technical data solutions, driving impactful outcomes on data quality, accessibility, and strategic decision-making.
Key Responsibilities
- Delineate and analyze complex business requirements related to data initiatives that support enterprise-wide transformation.
- Conduct in-depth data profiling and gap analysis to identify data quality issues and opportunities for improvement.
- Translate business needs into clear data specifications, including key performance indicators, metrics, reporting requirements, and functional documents for data solutions.
- Validate data to ensure accuracy, consistency, and integrity as part of the enterprise-wide transformation initiative.
Analytics & Reporting
- Develop and maintain dashboards, reports, and visualizations using tools like Power BI to support ongoing data quality monitoring and continuous improvement.
- Utilize advanced SQL skills for data analysis, querying, profiling, and transformation, generating insights, and presenting findings to stakeholders.
- Communicate technical concepts and data insights to non-technical audiences.
Stakeholder Management & Process Design
- Facilitate workshops and conduct user acceptance testing for analytical or reporting solutions.
- Collaborate with cross-functional teams, including business stakeholders, data engineers, architects, and governance teams.
- Design and implement data governance processes aligned with business objectives, ensuring transparency and traceability.
- Maintain and enhance data dictionaries, business processes, data flows, and business requirements.
Project Execution & Domain Expertise
- Apply domain expertise in the insurance industry to ensure accurate capture and alignment with local regulatory standards.
- Support project execution by participating in sprint planning, daily stand-ups, and retrospectives, ensuring data-related tasks are clearly defined, prioritized, and delivered on time.
Qualifications
Education
- Bachelor's degree in Business Analytics, Information Systems, Computer Science, Statistics, Actuarial Science, or a related field.
Experience
- 6+ years of experience as a data/business analyst working within the insurance or financial services industry, with exposure to policy, claims, customer, or risk data.
- Strong understanding of insurance industry standards and regulatory requirements impacting data usage and reporting.
- Proven ability to apply domain expertise in the insurance industry.
Technical Skills
- Advanced skills in SQL for data querying, profiling, and transformation.
- Proficiency in Power BI for creating dashboards, reports, and visualizations.
- Ability to translate business requirements into data requirements and define user stories/specs for data engineering teams.
Stakeholder Management & Communication
- Excellent communication skills to work with cross-functional teams.
- Strong facilitation skills for conducting workshops and managing collaboration.
- Ability to communicate complex technical concepts in clear language.
Analytical & Problem-Solving Skills
- Strong analytical and problem-solving skills with attention to detail.
- Ability to perform thorough data validation and identify data quality issues.
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