Technical Project Manager (Data & AI Practices)
Quarks Technosoft12–18 yrsNoidaOn-siteDirect career pageEst. 22–40 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Manage end-to-end delivery of Data Engineering and AI/ML projects including data ingestion, model deployment, and operational monitoring.
- Lead cross-functional teams of Data Engineers, Data Scientists, and ML Engineers, ensuring adherence to coding standards, security, and architectural best practices.
- Act as primary client liaison managing scope, expectations, and translating technical issues into business risks; Own operational governance in Time & Material and Build-Operate-Transfer engagement models.
Minimum Requirements
- 5+ years in Project Management with at least 3 years focused on Data, BI, or Analytics projects.
- Certified Scrum Master (CSM), SAFe Agilist, or PMP certification.
- Technical literacy in Data Engineering technologies (Snowflake, Databricks, BigQuery, Redshift), ETL/ELT tools (dbt, Airflow, ADF), and AI/ML lifecycle concepts including MLOps.
- Ability to understand SQL and Python code and familiarity with cloud platforms (AWS, Azure, GCP).
Ideal Candidate Profile
- Experienced managing complex Data & AI teams in delivery-focused environments requiring agile project management and operational discipline.
- Skilled at interfacing between technical teams and business clients, translating abstract data/AI challenges into clear plans and managing ambiguity in R&D phases.
- Strong governance mindset with capability to manage scope creep, project financials, and ensure client value realization in service-based engagements.