Technical Project Manager (Back-end)

Job Summary

We are seeking aTechnical Project Managerwho can combine agile delivery discipline with data platform and cloud engineering literacyto coordinate development and release cycles across StarHub’s C360 data domains.

In this role, you will work closely withDomain Owners (DOs),Data Architects, Engineering Managers (EMs), Platform Engineers, and Biz Data Analysts/Scientiststo ensure on-time, high-quality delivery across systems that support StarHub’s analytics, AI, and machine learning journeys.

The ideal candidate will have strong hands-on experience with agile project delivery in a DataOpsor cloud-native environment, preferably across data ingestion, transformation, and machine learning pipelines- with a solid understanding of Snowflake, AWS, CI/CD, MLOpsand observability frameworks,and end-to-end delivery metrics.

Key Responsibilities

Delivery & Agile Management

• Drive agile ceremonies (sprint planning, stand-ups, retrospectives) and maintainteam rhythm and cadence.

• Manage backlog hygiene, ensuring stories are well-defined, estimated, and prioritized.

• Plan and execute phased delivery strategies across multiple environments (DEV/SIT/PROD) within AWS and Snowflake ecosystems.

• Track delivery health through velocity, throughput, data quality SLAs, and pipeline stability metrics.

• Identifyand resolve blockers, risks, and cross-domain dependencies early.

• Maintain clear deliverydashboards and status reporting to senior stakeholders.

• Ensure alignment between Data Engineering, Platform DevOps, and Analytics/ML teams for synchronized delivery.

Technical Coordination & Planning

• Partner with Domain Owners,Data Source Owners, Data Architects & Engineersto align deliverables to data and analytics milestones.

• Coordinate with DevOps and QA/QE teams to ensure readiness for integration, testing, and release.

• Coordinate delivery dependencies with external partners across ingestion, migration, and ML projects.

• Support Domain Ownersand report on key DataOpsKPIs, including ingestion success rate, pipeline failure rate, data freshness, and platform cost utilization..

• Participate in sprint demos and ensure acceptance criteria are met for each increment.

Stakeholder & Cross-Domain Collaboration

• Work with Data Owners, Business Unit Data Leads (CBG, EBG, FIN, COPS, SmartHub), and Release Program Managersto align sprint deliverables to journey-level milestones.

• Collaborate with Journey Owners (JOs) and business stakeholders to clarify priorities and expected outcomes.

• Coordinate delivery dependencies with external partners across ingestion, migration, and ML projects.

• Communicate risks, decisions, and deliverytrade-offs clearly across keystakeholders.

Continuous Improvement & Governance

• Drive adoption of agile, DataOps, MLOpsand cloud automationbest practices across DXP Data teams.

• Analyzedelivery and operational metricsto identifyimprovement opportunities in throughput, cost efficiency, and data quality.

• Support incident RCA reviews and platform post-mortems, ensuring learnings are captured and converted intoactionable backlog improvements.

• Contribute to standardized deliverygovernance, templates, and documentation across domains.

• Champion cost optimization and monitoring frameworks for Snowflake warehouses, AWS usage, and data pipeline efficiency.

Requirements & Qualifications

Education & Certifications

• Bachelor’s degree in datascience, Information Systems, Business Analyticsor related field.

• Agile, PMP, or DevOps certifications (e.g., CSM, SAFe, PMI-ACP, AWS Certified Solutions Architect, SnowProCore) preferred.

Experience

• 8+ years of experience indata platform delivery, data ops & quality management, or analytics program management, with at least 3 years in a technicalproject management, delivery leador scrum mastercapacity.

• Proven track recordmanaging data engineering teams delivering pipelines and analytics workloads via CI/CDwithin AWS and Snowflakearchitectures..

• Proven experience coordinating ingestion, modeling, and ML engineering deliveriesbased on modern data tech stackssuch as Snowflake, Apache Airflow, Airbyte,NiFiand AWS SageMaker.

• Strong understanding of DataOpsautomation, role-based access control, data security, and cost optimizationin cloud data environments..

• Hands-on levelfamiliarity with tools such as Jira, Confluence, GitLab, Jenkins, Monday.com, Snowflake, SQL, dashboarding.

• Experience in telecommunications, dataplatform delivery, or enterprise analyticsprograms is an advantage.

Skills

• Deep understanding of agiledata engineering, cloud architecture, and DevOps principles.

• Demonstrated experience fostering data-driven culture and enabling data literacy across cross-functional teams.

• Ability to translate technical complexity into clear, actionable plans.

• Exceptional communication, facilitation, and stakeholder management skills.

• Analytical and detail-oriented mindset with a bias for execution.

• Highly organized, proactive, and resilient in a dynamic, fast-paced environment.

• Passion for continuous improvement and operational excellence.