Associate Director - Data Engineering & Governance

Role Summary

We are looking for a Data Governance & Data Engineering Leader to build and lead our data services capability. This role will be responsible for defining our data practice, leading client engagements, building reusable solutions, and growing a team of data engineers and data governance specialists.

The ideal candidate combines hands-on data architecture expertise, consulting mindset, and practice-building experience to deliver high-impact data solutions for clients.

Key Responsibilities

Practice Development

• Build and lead the Data Governance & Data Engineering practice.
• Define service offerings, frameworks, and reusable accelerators.
• Recruit, mentor, and develop a high-performing data team.
• Establish delivery standards and best practices.

Client Engagement & Delivery

• Lead client discovery workshops and solution design.
• Oversee delivery of data engineering and data governance projects.
• Ensure high-quality implementation of modern data platforms and pipelines.
• Act as a trusted advisor to client stakeholders.

Data Governance

• Implement data governance frameworks, policies, and operating models.
• Enable data quality, metadata management, lineage, and data catalog initiatives.
• Support clients in establishing data ownership and stewardship models.

Data Engineering

• Design and implement cloud-based data platforms, data lakes, and data warehouses.
• Build scalable ETL/ELT pipelines and data integration frameworks.
• Enable analytics and AI-ready data architectures.

Business Growth

• Support pre-sales activities, proposals, and solutioning.
• Identify opportunities to expand data services with existing clients.
• Contribute to thought leadership and practice visibility.

Required Experience

• 15+ years in data engineering, data architecture, or data management.
• Experience leading data platform implementations or data transformation programs.
• Strong understanding of data governance frameworks and enterprise data management.
• Experience working in client-facing or consulting roles.

Technical Skills

Experience with modern data technologies such as:

• Cloud Platforms: AWS, Azure, or GCP
• Data Platforms: Snowflake, Databricks, BigQuery, Redshift
• Data Integration: Airflow, dbt, Informatica, Talend
• Data Governance Tools: Collibra, Alation, Informatica, or similar

Key Leadership Skills

• Practice and capability building
• Client engagement and stakeholder management
• Solution architecture and delivery oversight
• Team leadership and mentoring

Ideal Candidate Profile

• Comfortable wearing multiple hats in a growing services firm
• Able to balance strategy, architecture, and hands-on delivery
• Strong communication and client advisory skills
• Passionate about building scalable data capabilities