Data Practice Director

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Practice Director in Canada. This senior leadership role sits at the heart of a fast-growing cloud data consulting practice, responsible for turning strategic vision into high-impact execution across multiple client engagements. You will lead distributed teams of data engineers, architects, and analytics professionals while ensuring consistent delivery excellence across complex AWS-based projects. The role blends operational leadership, technical credibility, and client-facing advisory responsibilities in a high-growth, global environment. You will partner closely with practice leadership to shape quarterly priorities, delivery standards, and capability development. Acting as both a delivery authority and a people leader, you will ensure strong financial performance, scalable delivery models, and exceptional client outcomes. This is a highly influential position where your leadership directly shapes practice growth, team culture, and long-term customer success.
• Accountabilities In this role, you will oversee end-to-end delivery and operational performance across a portfolio of data engineering and analytics engagements while ensuring quality, profitability, and timely execution. Lead delivery oversight across multiple concurrent client projects, ensuring on-time, on-budget, and high-quality outcomes aligned with contractual commitments. Drive operational discipline across staffing, utilization, margin tracking, engagement health, and delivery governance. Define and enforce best practices, reusable frameworks, and delivery standards to scale consistency across teams. Act as an escalation point for complex delivery challenges, resolving technical, scope, and client issues in partnership with engagement leads. Translate practice strategy into executable plans and quarterly objectives in collaboration with senior leadership. Lead client-facing engagements as a trusted advisor, supporting strategic discussions, issue resolution, and account growth opportunities. Support practice expansion through input into solutioning, pre-sales activities, and identification of new business opportunities. Requirements This role requires deep experience in data consulting, strong leadership capability, and the ability to operate across both strategic and hands-on delivery environments. 12+ years of experience in consulting or professional services, with a strong focus on data engineering, analytics, or data platforms. Proven success leading and scaling teams of 20+ data professionals in a distributed, fast-paced environment. Strong experience delivering complex cloud data solutions on AWS, including data lakes, lakehouse architectures, streaming, and analytics systems. Deep technical understanding of data engineering concepts such as ingestion, transformation (e.g., Spark, dbt), data modeling, governance, and quality. Strong leadership skills with experience coaching, developing, and retaining high-performing technical teams. Demonstrated ability to manage multiple client engagements while balancing delivery excellence and financial performance. Excellent communication and stakeholder management skills with experience engaging senior (Director to C-level) client leaders. Ability to bridge technical depth and business strategy, with credibility in architecture and delivery discussions. Benefits 100% remote work flexibility across Canada and eligible regions Competitive base salary: CAD $207,000 – $272,000 annually (based on experience and scope) Bonus, equity (phantom equity), and additional incentive opportunities Comprehensive medical, dental, and vision insurance for employees and dependents Generous PTO, paid holidays, and flexible time-off policies Annual learning and development budget, certifications, and exam reimbursements Home office, equipment, and internet stipends Retirement savings support (where applicable) Peer recognition and bonus programs Inclusive, global team culture with strong emphasis on collaboration and growth
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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