As a Data Technical Program Manager (TPM), you will lead the governance and delivery assurance of a complex AI-ready data platform and enterprise-wide data migration programme on Google Cloud Platform (GCP) for a major telecommunications environment. You will bring together programme management and strong technical understanding of data architecture, engineering, cloud-native platforms, and data governance to coordinate delivery across customer, partner, and technical teams.
What You'll Do and How You'll Succeed
Program Governance & Execution
Lead execution and delivery assurance across complex, multi-workstream data programmes.
Maintain the programme schedule, manage risk and issue registers, and ensure dependencies and delivery priorities remain visible and actively managed.
Provide regular weekly Project Status Reports and clear programme updates to steering committees.
Stakeholder Management
Act as the primary liaison between Google Professional Services, channel partners, and the customer's project manager and technical SMEs.
Coordinate customer-side dependencies, including landing zone readiness and secure data extraction, to support programme delivery.
Maintain effective alignment across business, programme, and technical stakeholders throughout implementation.
Data Architecture & Implementation Coordination
Partner with customer engineering leads and Google technical teams to oversee implementation of Infrastructure as Code (IaC) Terraform modules for GCP data services.
Coordinate deployment across technologies including Apache Iceberg on GCS, Dataproc Serverless, Cloud Composer, Looker, and Analytics Hub.
Ensure technical implementation activities remain aligned with programme objectives, dependencies, and delivery requirements.
Technical Workshop Facilitation
Lead joint technical workshops to define Data Mesh topologies, data product taxonomies, metadata harvesting strategies, and semantic layer integration.
Facilitate alignment with enterprise catalogues and platforms including Knowledge Catalog, DataHub, and Dataplex.
Validation & Handover
Manage validation and deployment of blueprint data pipelines, including use cases such as IPDR demand trend analysis.
Oversee the data flow from raw ingestion through Apache NiFi to GCS and BigQuery, ensuring the target-state environment is operational and enabled with BigQuery ML.
Coordinate validation and handover activities to support successful transition of the target-state data platform.
Cross Technology Alignment
Facilitate cross-technology alignment across remote delivery teams and adjacent domains, including Infrastructure, Data, and Security.
Ensure dependencies and technical considerations across workstreams are identified and coordinated throughout delivery.
We'd Love to Hear From You If...
Experience
You have 10+ years of experience managing complex data transformation programmes, including at least 3 to 5 years specifically focused on large-scale data migrations on GCP.
You have proven experience delivering data programmes involving multiple technical workstreams and stakeholders.
Telecommunications industry experience is preferred, particularly involving high-volume telemetry datasets such as IP Detail Records.
A Master's degree in Computer Science, Engineering, or a related technical field is preferred.
Technical Expertise
You have strong working knowledge of cloud-native data architectures, batch and streaming data pipelines, and cloud analytics services including BigQuery, Dataplex, Dataproc, and Cloud Composer.
You understand domain-driven Data Mesh architectures, Data Contracts, lakehouse storage formats, particularly Apache Iceberg, and federated computational governance.
You have experience with Infrastructure as Code using Terraform and enterprise cloud security frameworks, including VPC-SC, IAM policy-driven access models, and data masking tools.
Experience with high-volume data ingestion using open-source technologies such as Apache NiFi or Kafka is preferred.
You can work effectively across GCP data and analytics technologies including GCS, BigQuery, BigQuery ML, Looker, Analytics Hub, and enterprise catalogue environments.
Ways of Working
You can operate effectively between programme governance and complex technical delivery, translating technical dependencies, risks, and progress into clear programme actions.
You are confident facilitating technical workshops and coordinating customer engineering teams, technical SMEs, partners, and remote delivery teams.
You can maintain alignment across Infrastructure, Data, Security, and other adjacent technology domains while managing multiple programme dependencies.
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