Technical Project Manager

About the Role

Technical Project Manager / Technical Delivery Manager

Key Responsibilities

Project & Delivery Management

• Lead the full project lifecycle for enterprise-scale data platformsincluding requirement gathering, development, testing, deployment, and post-production support.
• Own the delivery of Data Warehousing and Data Lakehouse solutions on cloud platforms (Azure, AWS, or GCP).
• Prepare and maintain detailed project plans (Microsoft Project Plan), and align them with the Statement of Work (SOW) and client expectations.
• Utilize hybrid project methodologies (Agile + Waterfall) for managing scope, budget, and timelines.
• Monitor key project KPIs (e.g., SLA, MTTR, MTTA, MTBF) and ensure adherence using tools like ServiceNow.

Data Platform & Architecture Oversight

• Collaborate with data engineers and architects to guide the implementation of scalable Data Warehouses (e.g., Redshift, Synapse) and Data Lakehouse architectures (e.g., Databricks, Delta Lake).
• Ensure data platform solutions meet performance, security, and governance standards.
• Understand and help manage data integration pipelines, ETL/ELT processes, and BI/reporting requirements.

Client Engagement & Stakeholder Management

• Serve as the primary liaison for US/UK clients; manage regular status updates, escalation paths, and expectations across stakeholders.
• Conduct WSRs, MSRs, and QBRs with clients and internal teams to drive transparency and performance reviews.
• Facilitate team meetings, highlight risks or blockers, and ensure consistent stakeholder alignment.

Technical Leadership & Troubleshooting

• Provide hands-on support and guidance in data infrastructure troubleshooting using tools like Splunk, AppDynamics, Azure Monitor.
• Lead incident, problem, and change management processes with data platform operations in mind.
• Identify automation opportunities and propose technical process improvements across data pipelines and workflows.

Governance, Documentation & Compliance

• Create and maintain SOPs, runbooks, implementation documents, and architecture diagrams.
• Manage project compliance related to data privacy, security, and internal/external audits.
• Initiate and track Change Requests (CRs) and look for revenue expansion opportunities with clients.

Continuous Improvement & Innovation

• Participate in and lead at least three internal process optimization or innovation initiatives annually.
• Work with engineering, analytics, and DevOps teams to improve CI/CD pipelines and data delivery workflows.
• Monitor production environments to reduce deployment issues and improve time-to-insight.

Must-Have Qualifications

• 10+ years

  of experience in technical project delivery, with

  strong focus on data analytics, BI, and cloud data platforms

  .

• Strong hands-on experience with SQL

  and data warehouse technologies like

  Snowflake, Synapse, Redshift, BigQuery

  , etc.
• Proven experience delivering

  Data Warehouse and Data Lakehouse

  solutions.
• Familiarity with tools such as

  Redshift, Synapse, BigQuery, Databricks, Delta Lake

  .
• Strong cloud knowledge with

  Azure, AWS, or GCP

  .
• Proficiency in project management tools like

  Microsoft Project Plan (MPP)

  , JIRA, Confluence, and ServiceNow.
• Expertise in Agile project methodologies.
• Excellent communication skillsboth verbal and writtenwith no MTI or grammatical errors.
• Hands-on experience working with global delivery models (onshore/offshore).

Preferred Qualifications

• PMP or Scrum Master certification.
• Understanding of ITIL processes and DataOps practices.
• Experience managing end-to-end cloud data transformation projects.
• Experience in project estimation, proposal writing, and RFP handling.

Desired Skills & Competencies

• Deep understanding of

  SDLC, data architecture, and data governance

  principles.
• Strong leadership, decision-making, and conflict-resolution abilities.
• High attention to detail and accuracy in documentation and reporting.
• Ability to handle multiple concurrent projects in a fast-paced, data-driven environment.
• A passion for data-driven innovation and business impact.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.