[Hiring] Senior Practice Manager @World Wide Technology

Role Description

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 FinOps 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 resource plan and technical business plan for the practice, compiling customer, partner, and account team feedback with market and industry trends.
• Track and report team metrics, including notables, opportunities, and big bets.
• Collaborate with the Workforce AI, AI-Native Engineering, and AI practices so data readiness is built into each practice's offerings.
• Represent WWT at industry events, including AI Days, and lead sessions with customers and partners.
• Advocate for continual improvement in partner experience to build brand loyalty and value.
• Be a culture contributor and builder.

Qualifications

• 5+ years managing a specialty technical pre-sales or solutions team with a track record of meeting key objectives.
• 8+ years in data and analytics, data engineering, or data platform architecture.
• 7-10 years of technical sales industry experience or equivalent.
• Cloud or data platform certifications, FinOps certification, or AI governance credentials.
• Strong leadership, diplomatic, and motivational skills, with the ability to lead up, across, and down multiple business and technology organizations.
• Understanding of WWT business functions and organization, including Sales, Marketing, Partner Management, Services, and GS&A.
• Proven ability to work creatively and analytically in a problem-solving environment, demonstrating teamwork, innovation, and excellence.
• Self-directed, with the ability to adapt to change and competing demands.

Requirements

• Working knowledge of modern data platforms (Snowflake, Databricks, Microsoft Fabric, BigQuery, AWS data services) and consumption-based pricing models.
• Experience with data governance, cataloging, lineage, and security tooling, and with unstructured data and retrieval architectures for AI.
• Demonstrated partner relationship management with leading data and AI OEMs.
• Excellent verbal, written, and presentation skills, with the ability to represent technical solutions to C-level audiences.
• Pipeline management and analysis using Salesforce, Tableau, and the Microsoft Office suite.
• Ability to mentor, motivate, and develop high-performance teams.
• Remote work experience with Webex, Microsoft Teams, and other collaboration tools.

Benefits

• Health and Wellbeing: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program.
• Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement.
• Paid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring.
• Additional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program.