Senior Director of Data Consulting

Role Description

We are seeking a Senior Director of Data Consulting to join our remote team. This leadership role offers the chance to shape data-driven strategies for global clients and influence the direction of enterprise data solutions. You will collaborate with skilled professionals across various disciplines and drive innovation in a fast-paced setting. The position provides an opportunity to create a lasting impact on client success and organizational growth.

• Oversee the creation, implementation, and deployment of enterprise data platforms and solutions that align with business goals and long-term vision.
• Define data frameworks such as data lakes, advanced analytics platforms, and reporting solutions using major cloud providers and modern data processing technologies.
• Engage with business stakeholders, Solution Architects, and technical teams to translate business needs into scalable and future-ready data architectures.
• Provide strategic guidance to clients on data strategy, governance, and operating models to develop efficient and sustainable data ecosystems tailored to their needs.
• Lead consulting projects and presales initiatives by leveraging deep knowledge of data engineering, data management, and analytics.
• Analyze current data environments, identify gaps, and propose enhancements for data quality, accessibility, and governance.
• Follow industry trends, emerging technologies, and best practices in data management, AI/ML, and cloud solutions, applying these insights to client engagements.
• Participate in the development of accelerators, blueprints, and open-source tools to reinforce EPAM's Data Service Offerings.
• Encourage adherence to Software Development Life Cycle best practices, emphasizing quality-driven code and efficient CI/CD processes.
• Communicate complex technical concepts and strategies to both technical and non-technical audiences, aiding stakeholder alignment and informed decision-making.
• Build and maintain strong client relationships, acting as a trusted advisor for all matters related to data technology and strategy.

Qualifications

• 15+ years of experience in IT, with at least 10 years as a Data Technology Consultant, Data Architect, or a similar role in enterprise data projects.
• Participation in at least 10 projects or experience launching 3 or more products or key product capabilities to market.
• Ability to manage teams of 70+ FTEs, or smaller teams with significant business impact.
• Advanced expertise in data platforms and cloud technologies, including AWS, Azure, and GCP.
• Proficiency with data processing frameworks such as Databricks and MS Fabric for large-scale data solutions.
• Skills in SQL and Python for data engineering and analytics tasks.
• Competency in Master Data Management, data governance, and data quality tools to ensure reliable and accurate data.
• Familiarity with AI/ML technologies, including natural language processing and computer vision.
• Understanding of SDLC, CI/CD, and practices for quality-focused software development.
• Knowledge of data architecture, data lifecycle management, and enterprise data product design.
• Hands-on experience delivering large-scale data solutions, including data lakes, analytics platforms, and reporting systems.
• Strong analytical abilities with a track record of designing and implementing innovative data solutions.
• Background in effective collaboration with technical and business stakeholders to define and execute data strategies.
• History of managing complex data projects and delivering measurable business results.
• Organizational skills to manage multiple priorities and projects simultaneously.
• Fluency in English communication skills at the C1 level, both written and spoken.
• Expertise in consulting, including stakeholder management, client relationship development, and communicating technical topics clearly.
• Flexibility to stay informed about industry trends, conduct market and competitor analysis, and implement findings into strategic planning.

Requirements

• Nice to have: Certifications relevant to data, cloud, or analytics.