Bengaluru Karnataka Senior director ai ml engineering Jobs – 68 Open Jobs Today

Director / Sr. Director / Manager – Data Engineering (+ Analytics + ADMS)
INOPTRA DIGITAL —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
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Quick apply
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Sales Director – IT, Plant & Product Engineering - US & EU
INOPTRA DIGITAL —Bengaluru, Karnataka
- Sales
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- Presentation skills
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Barclays —Bengaluru, Karnataka
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LG Ad Solutions —Bengaluru, Karnataka
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iSOCRATES —Bengaluru, Karnataka
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- Doctoral degree
- Master's degree
Quick apply
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DocuSign —Bengaluru, Karnataka
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- Full-time
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Director / Sr. Director / Manager – Data Engineering (+ Analytics + ADMS)

INOPTRA DIGITAL
Bengaluru, Karnataka

Quick apply

Job details

Full-time

Qualifications

BCS
CI/CD
SAFe
Azure
Computer Science
PMP
Java
SQL
Profit & loss
AWS
Bachelor's degree
Scala
Continuous integration
Agile
IT
AI
Leadership
Communication skills
Python
Analytics
Information Technology
PRINCE2 Certification

Full job description

Director / Sr. Director / Manager – Data Engineering (+ Analytics + ADMS)

Reporting To: CEO

End Customers: USA & Europe

Domains (End Clients): Energy & Utilities (Power, Utilities, Renewables, Smart Grid) OR Automotive / Transportation (OEMs, Tier-1 Suppliers, Mobility, Logistics)

Location: Bangalore (Hybrid)

Employment Type: Full-Time

About the Role

We are seeking a strategic and hands-on Practice Head / Director – Data Engineering (+ Analytics + ADMS) to build and scale our Data Engineering, Analytics, and Application Development & Maintenance Services (ADMS) practice. The role requires strong leadership combined with deep technical expertise in modern data platforms, cloud, and digital engineering, with a proven track record of delivering large-scale solutions for international clients.

The ideal candidate will bring 18–24 years of experience across Data Engineering, Analytics, Cloud, and ADMS, with strong exposure to Energy & Utilities or Automotive / Transportation domains. This role combines delivery ownership, presales leadership, and P&L responsibility, reporting directly to the CEO.

The leader is expected to grow the practice into a large, sustainable business over 2–3 years, aligned with the organization’s strategic goals, culture, and values.

Key Responsibilities

1. Technology & Data Leadership

Lead Data Engineering, Analytics, and ADMS solutions for global clients.
Guide architecture and delivery of:
Data pipelines (ETL/ELT), data lakes, data warehouses
Analytics, dashboards, and reporting
Exposure to AI/ML and advanced analytics is an advantage
Strong understanding of Python, SQL, Java/Scala and modern data frameworks.
Hands-on knowledge of Cloud Data Platforms on AWS / Azure / GCP.
Promote best practices such as Agile, CI/CD, DevOps, and DataOps.

2. Delivery Leadership

Own end-to-end delivery of Data Engineering, Analytics, and ADMS programs.
Manage large offshore and onsite teams across geographies.
Ensure quality delivery, SLA adherence, security, and business outcomes.
Establish delivery governance, reporting, and client communication.
Apply estimation techniques and continuous improvement practices.

3. Practice & Capability Development

Build and scale Data Engineering & Analytics capabilities.
Define reusable frameworks, accelerators, and best practices.
Upskill teams on data platforms, cloud-native engineering, and analytics.
Standardize delivery processes and documentation.

4. People & Talent Leadership

Drive hiring and capability building for Data Engineering and Analytics teams.
Develop strong delivery and technical leaders.
Own performance management, learning, and team development.
Mentor and coach senior team members.

Key Requirements

15–20 years of progressive IT experience, with a strong foundation in Data Engineering, Analytics, and ADMS.
Proven experience growing practices from mid-size to large-scale delivery organizations.
Strong domain expertise in Energy & Utilities or Automotive / Transportation.
Hands-on technical background in:
Languages: Python, SQL, Java/Scala
Data Engineering: ETL/ELT, Data Lakes, Data Warehouses, Streaming
Cloud Platforms: AWS / Azure / GCP
Analytics & BI: dashboards, reporting, KPIs
Experience managing large global delivery teams and multiple client engagements.
Strong presales, client management, and stakeholder engagement skills.
High energy, result-oriented, and growth-focused mindset.

Preferred Certifications

Cloud Certifications (AWS / Azure / GCP)
Data & Analytics Certifications (Snowflake, Databricks, BigQuery, Synapse – preferred)
PMP / PRINCE2 / ITIL / Agile / SAFe

Key Attributes

Proven leadership in Delivery, Client Management, and Practice Growth.
Strong people leadership with mentoring and coaching capabilities.
Ability to manage distributed teams across India, USA, and Europe.
Excellent communication (verbal & written) and executive-level reporting skills.
Strategic thinker with strong execution focus.

Education & Experience

Bachelor’s degree in Computer Science, Information Technology, Electronics & Communication, or related field.
Experience: 15–20 years (role dependent: Manager / Director / Sr. Director).

Quick apply

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