Managing Director - Data & Technology

October 14

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Ankura

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Technology • Risk & Compliance • Turnaround & Restructuring • Disputes & Expert Testimony • Investigations

1001 - 5000

💰 Private Equity Round on 2021-11

Description

• Global leader for Data Architecture and Engineering - Ensuring that our internal and external clients consider and are driving toward industry-leading data and tech enablement and leverage Innovation • Lead responsible for driving innovation and fostering a culture of experimentation within Data Analytics & AI practice • Serve as a thought leader within the organization on data and analytics innovation, sharing knowledge and best practices • Market research and analysis, GTM strategy development, and Sales enablement • Responsible for spearheading new data architecture solutions and technological enhancements to support data-driven capabilities working closely with practice leaders • Responsible for innovating and enhancing the D&T business group technological capabilities and offerings • Designing data-centric products and services for the practice/company to help drive new revenue opportunities working closely with managing directors and the practice leader • Providing guidance and oversight for development from design through implementation • Working with practice architects/consultants to ensure the integration of modern technologies and tech delivery processes to realize success • Participating in project delivery to include managing teams that are responsible for client solutions, delivery, and support • Guide and collaborate with Agile teams in designing, developing, testing, implementing, and supporting technical solutions using a range of full-stack development tools and technologies.

Requirements

• BA/BS in Computer Science, Engineering, Business Analytics, or another analytical area • 20+ years in Data Analytics & AI • Experience in Consulting or Professional Services • 10+ years of experience in Cloud (Azure, AWS, GCP), providing end to end solution in Data Analytics & AI • Strong understanding of data and analytics solutions, including market trends, customer needs, and competitive landscape. • Proven record of accomplishment of successfully launching and managing data and analytics solutions. • Excellent communication, presentation, and interpersonal skills. • Ability to analyze complex data, make data-driven decisions, and articulate technical concepts to non-technical audiences. • Experience working with cross-functional teams and managing multiple projects simultaneously. • Proven record of accomplishment of developing and implementing AI strategies (ML and Generative AI) that deliver measurable business outcomes. • Strong understanding of AI technologies, including deep learning, natural language processing, and computer vision. • Data warehousing experience with technologies like Redshift, Databricks, Synapse, Snowflake • Technical experience with Distributed data/computing tools such as Kafka, Spark • Technical experience with Container technologies like Docker and Kubernetes.