About the role
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
SSA & Company provides a competitive salary range for our open requisitions. Actual salary is influenced by a wide array of factors including but not limited to skill set, experience, training, education, and other business and organizational needs. The range of starting annual salary for this role is $270,000. Decisions will be determined on a case-by-case basis.
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