Description

Job duties:
• Lead consulting engagements with top-tier clients in insurance, financial services, and other industries.
• Build and maintain strong relationships with stakeholders, ensuring alignment of data initiatives with overarching business strategies and objectives.
• Define data transformation strategies, roadmaps, and architectures to modernize data ecosystems.
• Advise on best-in-class data platforms, tools, and technologies to enable advanced analytics and data-driven decision-making.
• Drive measurable improvements in revenue, cost optimization, risk management, and customer experience through data and analytics solutions.
• Establish metrics and KPIs to track the success of transformation initiatives.
• Collaborate with data scientists and analytics teams to ensure models and algorithms align with business requirements.
• Stay current with AI/ML trends, especially Generative AI and Agentic and Retrieval Augmented Generation (RAG) flows, to advise on cutting-edge applications that unlock new opportunities for clients.
• Manage and mentor cross-functional teams, including data engineers, data scientists, and business analysts.
• Provide thought leadership and executive-level communication on project status, risks, and mitigation strategies.
• Serve as a trusted advisor on modern data and analytics technologies, influencing the broader market perspective.
• Participate in industry events, workshops, and conferences to showcase expertise and build brand recognition.
• Internal leadership in building capabilities and adoption of modern data and (Gen)AI tools and techniques
• Telecommuting permitted more than 50% from local area
• Up to 80% unanticipated travel to U.S.-based client sites

Requirements:
Education:
- Bachelor's degree, or foreign equivalent, in Computer Science, Information Systems, Data Science, Engineering, Business Analytics, or a related field
Experience:
10 years of experience in a data leadership or data transformation-related role.
Special Skills/other Requirements:
- 10 years of experience leading data strategy, analytics, or data governance initiatives
- Experience leading data transformation, data management, or data governance initiatives
- Experience working within financial services industries (including insurance, banking, or wealth management) or other regulated environments
- Experience applying data transformation principles across multiple industries (e.g., retail, healthcare, manufacturing)
- Experience working with data architecture, data governance frameworks, and data quality methodologies
- Experience with modern data platforms, including data integration, storage, processing, and visualization technologies
- Experience working with cloud-based data platforms (e.g., Snowflake, Databricks, BigQuery, or similar)
- Experience with data science lifecycle processes, analytics methodologies, or artificial intelligence applications (including generative AI)
- Experience presenting data or technology strategies to executive leadership and communicating technical concepts to non-technical stakeholders