> Markdown version of [/jobs/ext/2650126-data-ai-consulting-mgt-managing-director-remote](https://www.wearedevelopers.com/jobs/ext/2650126-data-ai-consulting-mgt-managing-director-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Consulting Mgt. Managing Director, Remote - **Company:** NTT DATA Corporation - **Location:** Atlanta, GA, United States (Remote available) - **Experience:** Expert - **Salary:** $179,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Application Frameworks, Information Engineering, Snowflake, Data Strategy, Microsoft Fabric, AI Platforms, Data Analytics, Data Management, Databricks - **Published:** August 22, 2026 - **Apply:** https://careers-inc.nttdata.com/talentcommunity/apply/1422174800/?locale=en_US ## About the Role * 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%. Preferred Skills * Experience leading large-scale, multi-workstream Data & Analytics transformations. * Experience managing onshore, nearshore, and offshore delivery teams. * Strong understanding of revenue, margin, utilization, forecasting, staffing, and delivery economics. * Experience building delivery centers of excellence, reusable assets, and engineering standards. * Demonstrated ability to scale teams, develop leaders, and align workforce capabilities with business demand. * Experience supporting Data & Analytics Go-To-Market, Offerings and account growth while maintaining alignment between sales commitments and delivery capabilities. * Ability to build trusted relationships with senior client executives and represent the firm in executive and industry forums. ## Description We are seeking a senior leader to lead the Data Strategy capability within Data & Analytics (D&A) practice in North America, with accountability for client delivery, team mentorship, delivery excellence, and practice growth. This role will oversee strategic client engagements, develop high-performing teams, strengthen delivery capabilities, and help grow the practice., * 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Big Business, Big Barriers? 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