Senior Technical Project Manager

Education: - B.E. Computer Science / IT or equivalent engineering discipline

Experience: 5+ years

Work Timings: 5 PM to 2 AM

• Must have a hands-on Data Engineering and/or Data Analytics background, with experience transitioning into Project/Program Management.
• Own end-to-end delivery of complex, multi-team projects (scope, timelines, milestones, dependencies, risks, business impact)
   
• Build and manage detailed project plans, ensuring alignment on sequencing, capacity, delivery commitments, and downstream reporting needs
   
• Coordinate with Product Managers to align workstreams to roadmap priorities
   
• Lead large-scale platform, data, and analytics migrations across data, application, reporting, and infrastructure layers
   
• Coordinate across engineering teams (data, platform, application, BI, analytics) to manage dependencies, cutover readiness, and downstream impact
   
• Drive day-to-day execution across concurrent workstreams, ensuring delivery against committed timelines
   
• Facilitate sprint planning, status meetings, and retrospectives with engineering teams
   
• Identify blockers and risks early; escalate with context and a recommended path forward
   
• Partner with BI and analytics stakeholders to define reporting requirements, KPI definitions, dashboard needs, and validation criteria
   
• Identify and remove blockers, manage risks, and escalate as needed to maintain momentum
   
• Ensure continuity of systems, data flows, and business reporting through migrations, upgrades, and platform changes
   
• Communicate progress, risks, mitigation plans, and business impacts clearly to stakeholders and leadership
   
• Support alignment around data definitions, metric governance, and reporting consistency across teams and consumers
   
• Adopt and apply AI tools (Claude, Gemini, or similar) to reduce manual overhead; status drafting, meeting summaries, risk flagging
   
• Learn and use no-code/low-code automation platforms (e.g., Dify) to streamline PMO workflows
   
• Contribute ideas and findings from your own work back to the broader team
   
• Support rollout and training of new AI workflows as they are developed
   

• BS/BA degree required, preferably in computer science or technical disciplines
   
• 7+ years of project/program management experience in platform, infrastructure, data, BI, or analytics-intensive environments
   
• Proven track record delivering complex projects across multiple engineering, analytics, and business stakeholder groups
   
• Experience managing large-scale migrations or platform transformations (data, infrastructure, reporting, or application layers)
   
• Strong understanding of distributed systems, modern data architectures (data lakes, warehouses, pipelines, services), and BI/reporting ecosystems
   
• Ability to manage dependencies across shared platforms with multiple downstream consumers, including dashboards and analytical datasets
   
• Strong stakeholder management and ability to drive alignment across competing priorities
   
• Comfortable operating in ambiguous environments with evolving scope and priorities
   
• Experience coordinating validation of data quality, reporting accuracy, and KPI consistency
   

• Experience with infrastructure/platform programs (cluster migrations, upgrades, system modernization)
   
• Experience with big data and modern data platforms (Hadoop, Snowflake, Doris, Vertica, etc.)
   
• Experience working with digital publishing platforms (WordPress, Adobe Experience Manager)
   
•   3+ years of project management experience in a software development environment, working with geographically distributed teams
   
• 3+ years of hands-on Agile/Scrum experience — you have run sprints, not just observed them
   
• Strong understanding of the full SDLC and how PM processes map to engineering execution
   
• Familiarity with workflow orchestration and data pipelines (Airflow, dbt, Informatica, Pentaho)
   
•  Experience managing multiple concurrent projects or workstreams with structured prioritization
   
• Experience with project tracking tools — specifically YouTrack and/or JIRA; Airtable or similar strongly preferred
   
• Exposure to both cloud and on-prem platforms
   
• Experience with BI/reporting tools (Tableau, Power BI, Looker)
   
• Experience modernizing BI environments, including dashboard migrations or reporting consolidation
   
• Familiarity with semantic layers, metrics layers, dimensional modeling, or governed reporting models
   
• Familiarity with data governance, lineage, or compliance initiatives
   
• Experience supporting self-service analytics, executive dashboards, or operational reporting