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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Digital Transformation - **Company:** SSA & Company - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, BigQuery, Information Systems, Data Architecture, Data Governance, Data Infrastructure, Data Integration, Data Transformation, Data Presentation, Dataspaces, Cloud Platform System, Snowflake, Generative AI, Data Strategy, Information Technology, Data Management, Databricks - **Published:** July 25, 2026 - **Apply:** https://jobs.jobvite.com/ssa-and-conpany/job/ocXyAfw1/apply ## About the Role 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 ## Description * 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)