Delivery Manager Data & AI

Department Icon Data Science Analytics & Machine Learning
Posted: 3 months ago
10-12 years
Bengaluru / Bangalore, Karnataka
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 3 months ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

Experience: 15+ years

Location: Bangalore

Employment Type: Full-time

Key Responsibilities

  • Project Delivery & Management:
    • Lead multiple concurrent data science and analytics projects across industry domains.
    • Own project planning, scope, estimation, risk management, and quality assurance.
    • Ensure timely and high-quality deliverables aligned with client expectations.
  • Stakeholder Management:
    • Build strong relationships with key stakeholders including CxOs, Product Owners, and Business SMEs.
    • Drive customer satisfaction and account growth through proactive communication and value delivery.
  • Team Leadership & Resource Management:
    • Lead and mentor cross-functional teams of data engineers, data scientists, and analysts.
    • Participate in recruitment and upskilling of delivery teams to align with emerging tech trends.
  • Technical Oversight:
    • Provide guidance on solution architecture, ML model deployment, data pipelines, and BI dashboards.
    • Ensure alignment with data governance, security, and compliance standards.
  • Process Excellence:
    • Promote Agile, DevOps, and MLOps practices for efficient delivery.
    • Continuously improve project delivery processes and reusable assets.

Requirements

Qualifications:

  • Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field.
  • 10+ years of IT experience, with at least 5+ years in Data & Analytics project delivery.
  • Proven track record in delivering large-scale Data Science, AI/ML, or BI projects.
  • Strong understanding of cloud data platforms (Azure, AWS, GCP), SQL/NoSQL, and modern ETL tools.
  • Familiarity with tools like Python, R, Spark, Power BI/Tableau, and ML Ops frameworks.
  • PMP, CSM, or SAFe certification is a plus.

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Skills

PythonData GovernanceData ScienceEtlProcess ExcellenceQuality AssuranceAi/mlAnalyticsMl OpsAiMlSql

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