Technical Project Manager- Digi Ops

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.

 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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