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Job Location: All Fractal Location
Job Description
We are looking for an experienced Technical Project Manager to lead and manage Data Engineering & Business Intelligence (BI) support operations. The role involves overseeing project execution, ensuring data pipeline reliability, managing BI reporting solutions, and driving continuous improvement in a managed services environment.
The ideal candidate should have a strong technical background in Data Engineering & BI, along with expertise in project management methodologies.
- Key Responsibilities
- Project & Delivery Management
- Oversee end-to-end execution of support projects.
- Ensure timely resolution of pipeline failures, report refreshes, break fix, production related issues.
- Manage change/release cycles while ensuring minimal business disruption.
- Define project scope, timelines, and resource allocation with stakeholders.
- Project & Delivery Management
Incident, Problem, & Service Management
- Drive proactive incident prevention through monitoring and automation.
- Establish & track SLAs (Service Level Agreements) and OLAs (Operational Level Agreements).
- Conduct root cause analysis (RCA) and implement long-term fixes.
- Ensure continuous improvement by optimizing workflows and automating repetitive tasks.
Data Governance & Quality Assurance
- Enforce best practices for data integrity, security, and compliance.
- Monitor data quality, lineage, and access control across platforms.
- Work with data stewards and BI teams to define governance frameworks.
Observability & Performance Monitoring
- Implement observability frameworks for pipelines & BI dashboard health.
- Utilize monitoring tools (Grafana, CloudWatch, Prometheus, etc.) to track system reliability.
- Improve Mean Time to Detect (MTTD) & Mean Time to Resolve (MTTR) for critical incidents.
Stakeholder & Vendor Management
- Collaborate with business teams, data engineers, and BI developers to align priorities.
- Communicate project status, risks, and escalations to leadership.
- Work with cloud service providers (AWS, Azure, GCP) and third-party vendors.
Automation & Cost Optimization
- Leverage AI/GenAI to automate recurring support tasks.
- Optimize cloud/data warehouse costs through scalability & performance tuning.
- Identify opportunities to reduce technical debt and increase operational efficiency.
Required Skills & Experience
- Technical Skills
- Strong experience in Data Engineering & BI technologies (SQL, Python, ETL tools, Power BI, Tableau, Looker).
- Expertise in cloud platforms (AWS, Azure, GCP) and data pipelines.
- Understanding of DevOps, CI/CD, Infrastructure as Code (IaC).
- Experience with Observability & Monitoring tools (Datadog, Splunk, Prometheus, ELK).
- Knowledge of incident & problem management frameworks (ITIL, SRE principles)
Project & Operations Management
- Experience in Agile, Scrum, Kanban methodologies.
- Ability to manage SLAs, KPIs, and governance frameworks.
- Strong background in process automation, AI-driven analytics, and cost optimization.
Soft Skills
- Excellent communication & stakeholder management.
- Problem-solving mindset with a focus on continuous improvement.
- Ability to manage high-pressure situations & drive service excellence
EDUCATION: B.E/B. Tech/M.Tech in Computer Science or related technical degree OR Equivalent
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