Managing Director, Data, Analytics & AI

* Establish enterprise standards, frameworks, and best practices for data management, data governance, and data security.* Lead data governance implementations spanning stewardship, data quality, metadata, lineage, and control frameworks.* Ensure alignment with regulatory requirements, risk management expectations, and industry standards, particularly in regulated and data‐sensitive environments.* AWS: Redshift, Glue, Lake Formation, SageMaker, Bedrock (or comparable services)* Microsoft: Azure / Microsoft Fabric, Synapse, Azure Data Factory, Power BI, Azure OpenAI* Google Cloud: BigQuery, Vertex AI, Dataflow (familiarity considered an asset)* 20+ years of progressive leadership experience in data, analytics, AI, and/or cloud consulting, including executive advisory and large-scale delivery ownership.* Demonstrated success leading large, multi-disciplinary teams delivering cloud, data platform, analytics, and governance programs at enterprise scale.* Proven revenue generation and practice growth track record—building pipeline, closing deals, and expanding accounts in consulting services.* Deep expertise in enterprise data strategy, data governance, master data management (MDM), and enterprise business intelligence.* Strong solution architecture credentials and hands-on experience spanning Microsoft, Databricks, Snowflake, and at least one hyperscaler-native stack (AWS/Azure/GCP).* Executive presence and ability to engage C-suite stakeholders as a strategic advisor and technical leader.* Experience in regulated industries (financial services, manufacturing, energy, government) is a plus.* Prior executive roles such as Chief Data Officer (CDO), Chief Information Officer (CIO), or Chief Technology Officer (CTO) are strong pluses.* Proven record of converting strategy and assessment work into large delivery engagements.* Deep understanding of modern data platforms, tools, and cloud capabilities supporting enterprise data modernization.* Demonstrated experience driving digital transformation through data, analytics, AI, and GenAI.* Strong executive communication skills with the ability to articulate complex technical concepts to both technical and non‐technical audiences.* Proven sales and presales track record, including building pipeline, leading RFP solutioning, and closing consulting engagements.* Extensive experience managing executive client relationships and senior technology partners.* Ability to travel approximately 25%, as needed.* AWS Certified Data Analytics – Specialty, Solutions Architect – Professional, and/or Machine Learning – Specialty* Databricks Certified Associate/Professional Data Engineer* Microsoft Fabric / Azure Data certifications (DP-600, DP-203, or equivalent)* Snowflake certifications (SnowPro Core, Advanced Architect)* Enterprise architecture credentials such as TOGAF or Master Certified Architect (strongly preferred)* Advanced understanding of DataOps, MLOps, and FinOps.* Prior experience as a data architect, chief data officer, chief information officer, or chief technology officer.* Professional certifications in cloud computing, data, or analytics.* Demonstrated success building and scaling a consulting practice.* Strong domain expertise in one or more industries (financial services, manufacturing, energy, public sector, technology, etc.).* Master’s degree in Computer Science, Engineering, or an MBA preferred.* Advanced data and cloud platform certifications strongly desired.
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