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AI and Analytics Manager

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Randstad

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Location:
India , Bengaluru

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The AI and Analytics Manager is responsible for driving strategic innovation and excellence across automation, data science, artificial intelligence, and analytics within the organisation. This role encompasses leadership of multidisciplinary teams, ensuring the successful delivery of intelligent solutions that enhance operational efficiency and strategic decision-making. The AI and Analytics Manager stays at the forefront of emerging trends, tools, and technologies, fostering a culture of innovation while ensuring alignment with organisational goals and adherence to governance and regulatory standards.

Job Responsibility:

  • Define and implement the strategic vision and roadmap for automation, AI, and data science within the COE
  • Foster innovation by staying informed of emerging trends and making recommendations for continuous improvement
  • Lead, mentor, and upskill cross-functional teams of data scientists and automation developers
  • Promote collaboration and a shared commitment to delivering high-quality, scalable solutions
  • Oversee project prioritisation, resource allocation, and timeline management, ensuring timely and cost-effective delivery
  • Manage budgets and track costs, ensuring optimal use of resources
  • Ensure best practices in AI, analytics, and automation are adopted and maintained
  • Establish compliance with data governance policies, security standards, and regulatory requirements
  • Oversee the design and deployment of scalable, extensible AI and analytics solutions, ensuring integration with existing systems
  • Drive end-to-end delivery of automation, machine learning, and analytics projects
  • Collaborate with cross-functional teams, including business stakeholders, IT, and external vendors, to identify opportunities and deliver impactful solutions
  • Communicate findings and insights effectively to non-technical audiences
  • Monitor and report on key performance indicators (KPIs) for COE initiatives
  • Promote continuous improvement through post-implementation reviews and optimisation strategies

Requirements:

  • Minimum of 10 years in automation, data science, or AI domains, with at least 5 years in a leadership capacity
  • Proven experience in end-to-end delivery of data-driven solutions
  • Strong budget management and cost tracking skills
  • Knowledge of the latest trends, techniques and tools in the area
  • Proficiency in tracking and reporting key performance indicators for initiatives
  • Experience in oil and gas industry essential
  • Excellent team leadership and mentoring capabilities
  • Collaborative approach to working with cross-functional leaders to drive value creation
  • Understanding of data governance policies, security standards, and regulatory requirements
  • Effective communication skills to convey strategic direction and vision
What we offer:
  • Commitment to your ongoing development, including on the job opportunities and formal programs
  • Inclusive parental leave entitlements for both parents
  • Values led culture
  • Flexible work options
  • Generous annual leave, sick leave and casual leave
  • Cultural and religious leave with flexible public holiday opportunities
  • A competitive remuneration package featuring performance based incentives with uncapped Employer Provident Fund

Additional Information:

Job Posted:
March 04, 2026

Expiration:
April 19, 2026

Employment Type:
Fulltime
Job Link Share:

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