Senior Manager

2 weeks ago


Mumbai, Maharashtra, India Adler Talent Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role & responsibilities:

We are seeking for a person who will lead the digital transformation agenda within the engineering function while managing the end-to-end lifecycle of digital products. The role demands a hands-on technologist with deep expertise in Python, AI/ML, SQL, and other programming languages who can guide developers, troubleshoot issues, and drive adoption of digital tools. In addition to technical expertise, the role requires strong business acumen (preferably with an MBA) to align digital initiatives with organizational goals, ensuring measurable impact and successful cross-functional adoption.

Key Responsibilities

  • Lead design, development, and implementation of digital tools and solutions for the engineering department.
  • Act as the first line of resolution for all digital and software issues.
  • Manage, mentor, and train a team of developers, ensuring productivity and high-quality delivery.
  • Define and execute the product vision, roadmap, and adoption strategy across functions.
  • Collaborate with Engineering, IT, and Business teams to identify opportunities for digitization.
  • Drive innovation by introducing AI/ML, Data Science, analytics, automation, and computer vision solutions.
  • Explore and integrate Open Source APIs/software (e.g., YOLO for computer vision, automation use cases).
  • Oversee Data Lake, data pipelines, and analytics platforms to enable enterprise-wide data-driven decision-making.
  • Monitor KPIs, measure product impact, and continuously enhance digital offerings.
  • Keep track of the technology roadmap and emerging digital trends, aligning them with product innovation.
  • Foster a digital-first culture across engineering and project execution teams.

Preferred candidate profile:

Experience & Skills

  • 10+ years of experience in digital transformation, product management, or technology leadership.
  • Strong leadership and people management skills with ability to guide technical teams.
  • Proven record of implementing digital tools in EPC/Engineering/Infrastructure context.
  • Ability to link digital initiatives with business outcomes (productivity, cost, cycle time).

Technical Expertise:

  • Python, SQL, AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
  • Experience in Data Science, Data Lakes, data pipelines, and enterprise analytics platforms.
  • Proficiency in at least one additional programming language (Java, C++, R, or JavaScript).
  • Knowledge of Open Source APIs/software (e.g., YOLO, computer vision, NLP, automation).
  • Hands-on troubleshooting, debugging, and issue resolution.
  • Familiarity with APIs, cloud platforms, and integration frameworks.

Secondary Skills:

  • Product management and lifecycle ownership.
  • Strong cross-functional collaboration and stakeholder management.
  • Change management and digital adoption strategies.
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to track technology trends and translate them into product innovation.

Desired Qualifications

  • Bachelors/Masters in Engineering, Computer Science, Data Science, or related field.
  • MBA (preferred) – with specialization in Technology, Operations, or Product Management.
  • Certification in AI/ML, Product Management, or Cloud Technologies (preferred).
  • Exposure to EPC, Infrastructure, or Manufacturing industries is desirable.

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