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phData

Managed data engineering and ML solutions

Technical Delivery Manager

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of experience in technical management, IT architecture, customer relationship management, project management, and/or delivery management, ideally within data, analytics, or infrastructure operations.
  • Hands-on experience with at least one major cloud platform: Amazon Web Services or Microsoft Azure.
  • Technical knowledge deploying and managing modern cloud data technologies such as Snowflake, dbt, Fivetran, Airflow, Redshift, Matillion, Databricks, Azure Synapse, Qlik, StreamSets, NiFi, Cloudera, Coalesce, and EMR; familiarity with several is expected, though not all are required.
  • Background in IT operations, infrastructure, or production support, including managing modern data platforms or data warehouses for multiple customers of various sizes.
  • Experience leading technical operations teams through multiple large or complex projects, including backlog creation using Epics, Stories, and Tasks, prioritization, and delegation.
  • Experience scoping and planning large-scale, complex technology infrastructure or modern data platform initiatives.
  • Demonstrated ownership of incident and escalation processes, including coordination among technical teams, end users, and stakeholders through resolution, root cause analysis, and remediation.
  • Active daily use of AI coding tools such as Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent, with judgment about when to trust, verify, and correct AI-generated output.
  • Ability to describe specific engineering tasks completed with AI assistance.
  • Experience delivering services for external or internal customers in a professional services, managed services, or similar client-facing environment, including direct interaction with global customers and business partners.
  • Ability to interact confidently with Director- and VP-level stakeholders, guide discussions, build relationships, and communicate complex technical information accessibly in writing, verbally, and through formal presentations.
  • Proven experience coordinating across technical teams managing IT infrastructure services or modern data platforms for multiple customers concurrently.
  • Strong written and verbal communication skills in English.
  • Demonstrated ability to lead and collaborate with distributed, cross-functional teams across regions such as the US, LATAM, and/or India and across time zones.
  • A professional track record of creating, challenging, and improving processes and procedures.
  • Ability to manage multiple priorities and accounts simultaneously with minimal supervision.
  • Flexibility to work across time zones as needed to support global teams and customers.
  • A bachelor's degree in Computer Science or a related field, or equivalent practical experience; the degree is preferred but not required.

Responsibilities

  • Own and drive the delivery and operational excellence of modern data platforms, including streaming, data lakes, and analytics, for multiple customer accounts.
  • Translate business and technical requirements into actionable Epics, Stories, and Tasks that mature and improve customer data platforms while aligning with company methodologies and best practices.
  • Ensure engagements are delivered on time, within scope, and on budget, with clear measures of success and value for customers.
  • Lead and motivate client technical teams, providing hands-on technical leadership for design, implementation, and ongoing operational support of cloud data platforms.
  • Provide leadership during major incidents, ensuring effective coordination, communication, escalation, follow-through to resolution, root cause analysis, and remediation.
  • Collaborate with architects, engineers, and site reliability and operations teams in the US and India to deliver client engagements and coordinate handoffs across time zones.
  • Develop relationships with sponsors and stakeholders, keep them informed of progress and outcomes, host leadership discussions, and identify opportunities to expand service value.
  • Ensure teams are trained and prepared to deliver by driving accurate process documentation, clear internal and external communication, and readiness for production operations.
  • Maintain appropriate staffing levels across accounts, balancing delivery between US and India team members to support continuous delivery and customer satisfaction.
  • Improve Managed Services offerings through process optimization, knowledge sharing, and creation of accelerators and reusable assets.
  • Champion company values and foster accountability, ownership, and continuous improvement within delivery teams.
  • Contribute to best practices for incident management, change management, and modern data platform operations across multiple customers.
  • Advise senior client stakeholders, shape cloud data platform roadmaps, and influence strategic decisions about data and analytics operations.
  • Mentor and coach architects, engineers, and operations team members to build technical depth and delivery capabilities across large and complex environments.
  • Help define and refine Managed Services standards, playbooks, and frameworks to support scalable growth across a broad customer base.

Desired Qualifications

  • Experience managing IT or data operations/production support environments, including leading data warehouse, machine learning, or data engineering teams.
  • Experience working with cloud data platforms such as Snowflake, Databricks, and Azure Synapse in a multi-customer or managed services context.
  • Additional experience with tools such as Qlik, StreamSets, NiFi, Cloudera, or Coalesce.
  • Prior experience in a consulting, managed services, or MSP-style environment supporting multiple enterprise customers.
  • Prior experience working in global or remote teams and partnering across the US, LATAM, and/or India.
  • Interest in learning new technologies and staying current with technology trends to inform business strategy.
  • Contributions to internal accelerators, process improvements, or knowledge-sharing initiatives.

About the Company

phData

Managed data engineering and ML solutions

phData provides data engineering, data strategy, and machine learning solutions through end-to-end managed services and consulting for enterprises. It delivers cloud data engineering, data migrations, business intelligence, and ML applications by combining data infrastructure automation with analytics and AI strategy in project-based engagements and ongoing support. It differentiates itself by offering full, service-led delivery focused on sustainable data engineering practices and strong customer success, plus its status as an AWS consulting partner with specialized cloud analytics and ML expertise on AWS. Its goal is to help clients turn data into actionable insights and sustainable growth by building scalable data platforms and AI systems guided by clear roadmaps.

Company size
501-1,000
Company stage
Seed
Total funding
$2.5M
Headquarters
Minneapolis, MN
Founded
2014

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