Sr. Practice Manager Data Platforms
Listed on 2026-11-01
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IT/Tech
Data Engineering, Information Security & Data Protection, AI Engineer (Applied/Software), IT Project Manager
Why WWT?
World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe.
Founded in 1990, WWT brings together strategy, deep technical expertise and world-class partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)—a collaborative ecosystem featuring state-of-the-art hardware and software—WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distribution capabilities.
With more than 14,000 team members and over 60 locations globally, WWT's culture—grounded in core values and leadership philosophies—has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents.
Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
What will you be doing?
The Senior Practice Manager, Data Platforms is a people-focused technical sales leader responsible for strategy, go-to-market, and thought leadership for AI data readiness, data governance, and data platform partner alignment within Applied AI. This leader provides technical direction and business guidance to corporate leaders and field sales, builds and develops a team of high-performing technical solution architects and specialists, and helps meet global gross profit and net contribution goals through innovative technical programs and field enablement.
The role leads data platform partner execution across hyperscaler, data platform, and AI infrastructure OEMs, and works across the Workforce AI, AI-Native Engineering, and AI practices so that data readiness is part of every Applied AI engagement.
Responsibilities:
- Develop and execute the Data Platforms go-to-market strategy, including AI data readiness, data governance for AI, and data platform modernization
- Lead, coach, and develop the team, using tools such as the Job Performance Matrix to manage performance, development, and engagement
- Build and productize data readiness assessments that convert into advisory and delivery engagements
- Support data platform partner execution, including joint sales plays, co-sell motions, enablement, and pipeline development with hyperscaler, data platform, and AI infrastructure partners
- Help define reference architectures, workshops, briefings, and demos covering structured and unstructured data, retrieval pipelines, semantic layers, and governed data access for AI agents
- Establish governance frameworks aligned to NIST AI RMF, the EU AI Act, and sector-specific requirements, including lineage, classification, and policy enforcement
- Partner with security and Fin Ops teams on data security posture and consumption cost governance across data platforms
- Drive field enablement through virtual teams, roadshows, and all-hands meetings, and provide business leadership to sales teams on account profiling and sales plays with CDO, CDAO, CIO, and CISO stakeholders
- Drive the team in creating technical proposals, leveraging Professional Services, Global Supply Chain, and ATC Labs and the AI Proving Ground to enable complete solutions
- Contribute to practice marketing strategy and own content and topic strategy for the practice on the digital platform
- Influence the technical…
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