Data & AI Consulting Managing Director
New
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NTT DATAData & AI Consulting
United StatesFull-TimeDirector
Salary$179,000 - $354,000
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Job Details
- Experience
- 15+ years of professional services, consulting, technology services, or relevant industry leadership experience
- Required Skills
- Business IntelligenceSnowflakeData engineeringStakeholder managementDatabricksData analytics
Requirements
- 15+ years of professional services, consulting, technology services, or relevant industry leadership experience in US/Canada.
- 8+ years leading teams and complex Data & Analytics programs with responsibility for delivery, clients, staffing, and financial performance.
- Leadership experience across areas such as data strategy and architecture, data engineering, data platforms, BI/analytics, governance, data quality, or MDM.
- Proven ability to build, lead, and develop multidisciplinary Data & Analytics teams.
- Experience establishing delivery governance, methodologies, resource management, and performance metrics.
- Knowledge and roadmap of modern Data/AI platforms including Snowflake, Databricks & Microsoft Fabric.
- Strong executive communication, stakeholder management, and problem-solving skills.
- Bachelor's degree required; Master's preferred.
- Ability to travel at least 50%.
Responsibilities
- Lead the Data Strategy capability within the D&A practice, ensuring strong client outcomes, delivery quality, financial performance, and business development.
- Provide executive and architectural oversight for complex Data & Analytics engagements across scope, schedule, budget, quality, risk, and client satisfaction.
- Establish consistent delivery governance, methodologies, quality standards, risk management, estimation and executive reporting.
- Serve as an executive sponsor and escalation point for strategic clients, resolving delivery issues and maintaining alignment with business objectives.
- Build, mentor, and develop multidisciplinary Data & Analytics teams and future technology leaders of D&A practice.
- Collaborate across technology practices and strategic partners, including understanding product roadmaps (Snowflake, Databricks, Microsoft Fabric) and impact to D&A practice in North America.
- Own workforce and capacity planning, balancing skills, utilization, demand, delivery commitments, and development.
- Define and promote best practices across data strategy, architecture, engineering, modernization, analytics, data quality and MDM.
- Drive adoption of reusable frameworks, reference architectures, accelerators, and delivery standards.
- Partner with sales and account teams on solution shaping, estimation, staffing, proposals, and transition from presales to delivery.
- Maintain executive client relationships and identify opportunities for account and practice growth.
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