Data & AI Strategy - Senior Advisor

About the role

Join Wavestone and thrive in an environment that’s empowering, collaborative, and full of opportunities to turn today’s challenges into tomorrow’s solutions – contributing to one or more of our core 4 capabilities: Business Consulting | Business Strategy & Transformation, Organizational Effectiveness & Change Management, Operating Model Design & Agility, Program Leadership & Project Management, Marketing, Innovation, & Customer Experience Technology Consulting | IT Strategy & CTO Advisory, Technology Delivery, Data & Artificial Intelligence, Software & Application: Development & Integration, SAP Consulting, Insurance/Reinsurance Cybersecurity | Cyber Transformation Remediation, Cyber Defense & Recovery, Digital Identity, Audit & Incident Response, Product & Industrial Cybersecurity Sourcing & Service Optimization | Global Services Strategy, IT & Business Process Services Outsourcing, Global In-house Center Support, Services Optimization, Sourcing Program Management

Responsibilities

• Lead complex client engagements in data engineering, analytics, and digital transformation, from strategy through hands-on implementation.
• Advise C-level and senior stakeholders on data strategy, architecture, governance, and technology adoption to drive measurable business value.
• Architect and implement enterprise-scale data platforms, pipelines, and cloud-native solutions (Azure, AWS, Snowflake, Databricks, etc.).
• Oversee and optimize ETL/ELT processes, data integration, and data quality frameworks for large, complex organizations.
• Translate business objectives into actionable technical roadmaps, balancing innovation, scalability, and operational excellence.
• Mentor and develop consultants and client teams, fostering a culture of technical excellence, continuous learning, and high performance.
• Drive business development by shaping proposals, leading client pitches, and contributing to thought leadership and market offerings.
• Stay at the forefront of emerging technologies and industry trends in data engineering, AI/ML, and cloud platforms.

Qualifications

• Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent business experience.
• 8+ years of experience in data engineering, data architecture, or analytics consulting, with at least 2 years in a leadership or management role.
• Demonstrated success in client-facing roles, ideally within a consulting or professional services environment.
• Advanced proficiency in Python, SQL, and modern data engineering tools (e.g., Spark, Databricks, Airflow).
• Experience with cloud data platforms (Azure, AWS, GCP, Snowflake).
• Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Databricks, Snowflake) are a strong plus.
• Exceptional problem-solving, analytical, and communication skills.
• Deep experience in Insurance, Pharma, or Financial Services.