--- title: 'Manager, Global Practice and Delivery (Solutions & Services) at Acceldata' canonical: 'https://feeny.ai/job/manager-global-practice-and-delivery-solutions-services-acceldata-kitchener-258bmwrt646v' type: 'job' last_seen: '2026-10-29' --- # Manager, Global Practice and Delivery (Solutions & Services) at Acceldata - **Company:** Acceldata - **Location:** Kitchener, Canada - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-28 - **Last confirmed live:** 2026-10-29 - **Apply:** https://jobs.lever.co/acceldata/5c7ab303-e504-4d13-9bb0-f90181dbc5cb ## Job description 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. ## About Acceldata ## Company Overview - **One-liner**: Acceldata provides an autonomous agentic data management platform that enables enterprises to observe, govern, and optimize complex data and AI workloads across hybrid cloud environments. - **Entity Type**: Private (Series C) - **Headquarters**: Campbell, California, USA - **Founded**: 2018 - **Founders**: Rohit Choudhary (CEO), Ashwin Rajeeva (CTO), Raghu Kandikonda (Co-Founder & VP Engineering) ## Core Business - **Primary industry**: Data Observability, Agentic Data Management, AI Infrastructure - **Target customers**: Large enterprises (B2B, Enterprise) – customers include Dun & Bradstreet, AT&T, Oracle, DBS - **Mission statement**: Deliver the promise of data quality and reliability at exabyte scale, blending the best of on-premises and cloud worlds, and providing real-time AI monitoring with structured, unstructured, and streaming data inputs. ## Products & Services - **Data & AI Observability**: End-to-end visibility into AI agents, Hadoop, data quality, pipelines, and platforms. - **Agentic Data Management**: Autonomous detection, diagnosis, and resolution across the data estate. - **Data Warehousing**: Modern data warehousing capabilities built on the xLake platform. - **Data Platform Modernization**: Open-source foundation for Hadoop modernization across cloud, on-prem, and hybrid environments. - **xLake Platform**: The unified, customer-controlled control plane that runs every Acceldata product. Federated compute planes execute workloads where data resides, with built-in governance, observability, and lineage. ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric**: Total Funding – Series C round (amount undisclosed); over 1 trillion data and agent interactions daily; 200+ teams worldwide rely on Acceldata. - **Notable Investors/Partners**: Insight Partners (lead investor); key customers include Dun & Bradstreet, AT&T, Oracle, DBS. - **Growth Signals**: Headcount growth to 201–1000 employees; expansion into Canada (Kitchener) and UK (London); new product launches (xLake, Agentic Data Management); recognition as pioneer and leader in data observability category. ## Competitive Advantages - First to coin the term “Data Observability” and pioneer the category. - Unified xLake platform with a single control plane that works across hybrid cloud, on-prem, and edge. - Patented technology in data processing and related fields; contributions to Apache Ambari and Apache Zeppelin. - Deep expertise in complex data systems from founders’ experience at Hortonworks, Zalando, and Adobe. - Agentic approach – autonomous detection and resolution reduces manual intervention. ## Strategic Focus - Accelerating enterprise adoption of autonomous data management and AI agents. - Expanding hybrid cloud capabilities so workloads run where data lives. - Enhancing the agentic brain for orchestration, governance, and observability of AI agents and data pipelines. - Growing the platform from a single product to a suite of products (Observability, Data Management, Warehousing, Modernization) that can be used individually or together. ## Why Work Here - **Culture highlights**: Acceldata describes itself as a dynamic, innovative environment where creativity thrives, ideas flourish, and collaboration fuels breakthroughs. Values curiosity, diversity, and a shared commitment to excellence. - **Remote/hybrid/office policy**: Multiple office locations (Campbell HQ, Bangalore, Kitchener, London). Job postings indicate on-site, hybrid, and full-time remote options depending on role. - **Notable perks/engineering culture**: Deep technical roots in open-source (Apache projects) and big data systems. Opportunity to work on cutting-edge data observability and AI agent infrastructure at scale. Leadership team includes experienced executives from Hortonworks, Adobe, and other tech leaders. Series C funding provides stability and growth trajectory. ## Sources 1. [acceldata.io/about-us](https://www.acceldata.io/about-us) 2. [acceldata.io/careers](https://www.acceldata.io/careers) 3. [acceldata.io](https://www.acceldata.io/) 4. [jobs.lever.co/acceldata](https://jobs.lever.co/acceldata) 5. 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