Data Technical Program Manager - Google Cloud Platform

HCL Technologies Philippines Inc; Philippines; On-site; PHP 2,000,000 - 3,200,000; Full time

Job summary

HCL Technologies Philippines Inc is seeking a Data Technical Program Manager to govern an AI-ready Data Platform and enterprise-wide data migration for a major telecom client. You will lead multi-workstream programs, align with Google teams, and drive IaC deployments for GCP data services.

Ideal candidates bring 10+ years in complex data programs, 3–5 years in large-scale GCP migrations, and expertise in Data Mesh, data contracts, and lakehouse architectures with Iceberg and BigQuery ML.

Qualifications

• 10+ years of experience managing complex data transformation programs.
• 3–5 years focused on large-scale data migrations on GCP.
• Strong knowledge of cloud-native data architectures and data governance.

Responsibilities

• Oversee design, implementation, and governance of an AI-ready data platform.
• Lead multi-workstream data programs with schedule, risk, and reporting oversight.
• Coordinate with Google Professional Services, channel partners, and client SMEs.
• Manage IaC Terraform deployments for GCP data services and analytics tooling.
• Lead workshops to define Data Mesh topologies and metadata strategies.

Skills

Data program management

GCP data services

Data mesh concepts

Leadership in cross-functional teams

Telecom data domain

Education

Master's degree in Computer Science or related

Tools

Terraform

Apache NiFi

Kafka

BigQuery

Cloud Composer

Iceberg

Job description

About the role

We are seeking a Data Technical Program Manager (TPM) to oversee the design, implementation, and overall governance of an AI-Ready Data Platform and enterprise-wide data migration for a major telecommunications customer. This role demands a blend of program management expertise and deep technical knowledge of data architecture and engineering, cloud-native architectures, and data governance frameworks on Google Cloud Platform (GCP).

Key responsibilities

• Lead the execution and delivery assurance of complex, multi-workstream data programs. Maintain the program schedule, manage risk/issue registers, and provide regular, weekly Project Status Reports to steering committees.

• Act as the primary liaison between Google Professional Services, channel partners, and the customer's project manager and technical SMEs.

• Help manage customer-side dependencies including landing zone readiness and secure data extraction.

• Partner with customer engineering leads and Google technical teams to oversee the deployment of Infrastructure as Code (IaC) Terraform modules for GCP data services (including Apache Iceberg on GCS, Dataproc Serverless, Cloud Composer, Looker, and Analytics Hub).

• Lead joint technical workshops to define Data Mesh topologies, data product taxonomies, metadata harvesting strategies, and semantic layer integration with enterprise catalogs (e.g., Knowledge Catalog, Datahub, Dataplex).

• Manage the validation and deployment of blueprint data pipelines (such as IPDR demand trend analysis) from raw ingestion via Apache NiFi to GCS and BigQuery to ensure the target-state environment is fully operational and enabled with BigQuery ML.

• Facilitate cross technology alignment for remote delivery teams across adjacent domains, e.g. Infrastructure, Data, Security, etc.

About you

• 10+ years of experience managing complex data transformation programs, with at least 3-5 years specifically dedicated to large-scale data migrations on GCP

• Strong working knowledge of cloud-native data architectures, data pipelines (batch/streaming), and cloud analytics services (e.g., BigQuery, Dataplex, Dataproc, Cloud Composer).

• Ability to work on-site at the customer office in Manila, Philippines on all weekdays as required by the project.

• Proven experience delivering data programs in the telecommunications sector, with exposure to high-volume telemetry datasets (e.g., IP Detail Records) and integration with ingestion open source tools like Apache NiFi or Kafka.

• Strong conceptual and technical understanding of domain-driven Data Mesh architectures, Data Contracts, lakehouse storage formats (specifically Apache Iceberg), and federated computational governance.

• Experience with Infrastructure as Code (IaC) Terraform deployments and enterprise security frameworks, including VPC-SC, IAM policy-driven access models, and data masking tools.

• Master's degree in Computer Science, engineering, or a related technical field.

• Exceptional capability to lead in highly ambiguous enterprise situations, manage diverse cross-functional teams, and translate complex technical requirements into structured project phases.