Sr. Practice Manager -- Data Platforms
- Salary
- $150K–$190K
- Hiring from
- United States
- Work type
- Remote
- Posted
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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
Other Work Experience
- 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
Knowledge, Skills, and Abilities
- 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
Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $150,000.00 to $190,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.
The well-being of WWT employees is essential. When it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
- 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
Note: This is not an all-encompassing list and should not be used as a complete description of the plan’s benefits. For more information, see our US benefits website at wwt.com/us-benefits.
We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for all!
If you require accessibility accommodation(s) or adjustment during any stage of the hiring
process, please let your WWT Recruiter know. The recruiter will work with you to understand your needs and help ensure an accessible experience throughout the interview process.
World Wide Technology is an Equal Opportunity Employer.
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 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