Posted 9 days ago
Manager, Global Practice and Delivery (Solutions & Services)
@ Acceldata
Overview
Acceldata is hiring a Manager, Global Practice and Delivery to build and lead a global team of Solutions Consultants and Forward-Deployed Engineers. The role leads enterprise implementations, SaaS deployments and platform migrations for data and infrastructure observability, owning practice strategy, delivery metrics and customer outcomes. The posting asks for at least 10 years of professional services or technical consulting experience, a strong data platform background, and a Bachelor's or Master's degree in CS or engineering.
Responsibilities:
- Build, hire, coach and develop Solutions Consultant and Forward-Deployed Engineer teams
- Define and execute professional services strategy and operating models
- Own services revenue, gross margin, utilization and delivery metrics
- Oversee multiple enterprise customer engagements and manage delivery risk
Requirements summary:
- At least 10 years in professional services, software engineering or technical consulting
- 5+ years leading customer-facing engineering or delivery teams
- Deep expertise in data management, data platforms or data infrastructure
- Bachelor's or Master's in CS, engineering or related field
- Experience with AI and automation in services delivery (preferred)
Tools & skills
Source and dates
Employer career site / ATS feed · lever
- Employer posting date
- 2026-10-28
- First seen by our source
- 2026-10-29
- Source record updated
- 2026-10-29
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Manager |
| Department | Business operations |
| Experience | 10+ years |
| Management experience | 5+ years |
| Manages people | Yes |
| Hours per week | 40 (estimated) |
| Work setting | Office, Client sites |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Master’s degree (preferred) |
| Fields of study | Computer science, Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Acceldata
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
Acceldata provides an Agentic Data Management platform that simplifies and speeds the ability for enterprises to deliver trusted data for AI and other initiatives. Founded in 2018, Campbell, CA-based Acceldata developed the world's first enterprise data observability platform to help enterprises build and operate great data products. Built on that foundation, Acceldata's xLake Reasoning Engine now powers the Agentic Data Management platform. Acceldata's solutions have been embraced by global enterprises such as Nestle, Dun & Bradstreet, Hershey, Pubmatic, HCSC, PhonePe (Walmart), TPG Telecom (Australia), Jenius Bank, Merkle, Pubmatic, and many more. Acceldata investors include Insight Partners, March Capital, Industry Ventures, Lightspeed, Sorenson Ventures, Sanabil, and Emergent Ventures.
- LinkedIn followers
- 80,192
- People associated on LinkedIn
- 289
- Reported office locations
- 2105 S Bascom Ave, Campbell, California 95008, US
- 18th Cross Road, HSR Layout, 3rd Sector, Vault No 1090/A, Bengaluru, Karnataka 560102, IN
- Business categories
- Infrastructure
- Artificial Intelligence
- Data Management
- Enterprise Software
- Artificial Intelligence (AI)
- Big Data
- Machine Learning
- Other recorded names
- Acceldata
- Specialties
- Data observability
- Data reliability
- Data discovery
- Data pipeline monitoring
- Data quality monitoring
- Compute performance monitoring
- Data pipeline observability
- Data quality management
- Agentic Data Management
- Agentic AI
- Data Quality
- Hybrid Cloud
- Snowflake
- Databricks
- AWS
- Azure
- and Google Cloud
- Profile identifies a recruitment agency
- No
- Reported total investment
- 105,560,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Acceldata provides an Agentic Data Management platform that simplifies and speeds the ability for enterprises to deliver trusted data for AI and other initiatives. Founded in 2018, Campbell, CA-based Acceldata developed the world's first enterprise data observability platform to help enterprises build and operate great data products. Built on that foundation, Acceldata's xLake Reasoning Engine now powers the…
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 201-500 employees |
| Headquarters | Campbell, California |
| Organization type | Privately Held |
| Specialties | Data observabilityData reliabilityData discoveryData pipeline monitoringData quality monitoringCompute performance monitoringData pipeline observabilityData quality managementAgentic Data ManagementAgentic AI |
| Open jobs on Jobsy | 10 |
| View page |
We're looking for a Manager, Global Practice and Delivery to build, lead, and scale a global team of Solutions Consultants and Forward-Deployed Engineers responsible for enterprise implementations, technical consulting, SaaS deployments, and platform migrations.
- You'll lead our North American services organization while helping shape global delivery practices that enable customers to successfully deploy, adopt, and realize measurable value from Acceldata's data management and observability solutions.
- You'll build a scalable services delivery engine, ensuring customer engagements are delivered on time, within budget, to high-quality standards, and consistently across multiple customers.
- You should be equally comfortable discussing data architecture trade-offs with a customer's technical team and coaching Solutions Consultant Or/And , Forward-Deployed Engineers on delivering complex on-premises and SaaS solutions.
- We're looking for a forward-thinking leader who combines deep technical delivery expertise with ownership of practice strategy, commercial growth, operational excellence, and organizational capability building.
What You Will Own
- Global Team Leadership: Build, hire, coach, and develop a high-performing team of Solutions Consultants and Forward-Deployed Engineers supporting Data & AI Observability and Infrastructure Observability.
- Practice Strategy & Growth: Define and execute the professional services strategy, strengthen delivery capabilities, identify opportunities for services growth, and build scalable operating models.
- Practice Performance & Leadership Accountability: Own and continuously improve key professional services metrics, including services revenue, gross margin, resource utilization, delivery predictability, customer time-to-value, customer satisfaction, team capability development, and operational scalability.
- Customer Engagement: Oversee multiple enterprise customer engagements, ensuring successful delivery, proactive risk management, stakeholder alignment, and measurable business outcomes.
What You Bring
- At least 10 years of experience in professional services, software engineering, forward-deployed engineering, or technical consulting, including 5+ years leading customer-facing engineering or delivery teams in a high-growth company
- Proven experience running several complex enterprise implementations at once, including planning, resource allocation, risk management, and financial accountability.
- Solid understanding of data engineering, distributed systems, cloud platforms, and Kubernetes-based environments. Most important: deep domain expertise in data management, data platforms, or data infrastructure - you can hold your own in conversations about data observability, data quality, spark/kafka processing, kubernetes architectures, or cloud data engineering.
- Bachelor’s Or Master's in CS, Engineering, or related field.
Preferred
- Strong foundation using AI and automation to improve services delivery
- Build a high-performing professional services organisation that delivers enterprise implementations on time, accelerates customer time-to-value, improves delivery efficiency, and drives measurable customer success.
- Experience delivering solutions across hybrid-cloud, multi-cloud, and on-premises enterprise environments.
Enterprise data infrastructure and AI are coming together, and Acceldata sits at that point. You will shape our global services and FDE organization, lead experienced technical people, and build delivery practices that scale. You will help customers run their mission-critical data platforms.
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