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POSITION DETAILS:

Designation: Senior GM/Vice President IT - AI, RPA, Data Science & Data Analytics

Business Unit: Corporate

Function: IT

Location: Mumbai (HO)

Reporting to: Executive Vice President - Information Technology

ROLE OVERVIEW/ PURPOSE:

To Architect, Implement, Enhance and Monitor AI / ML/ RPA Automation IT Corporate level across functions/ domains - R&D, Regulatory, Manufacturing, Quality, Sales, Procurement, Supply chain, Warehousing, HR, Legal, Finance, Corporate Communications, Data-warehousing and Analytics - Projects and Support in line with Organizational requirements and directives. To deliver end-to-end solution right from inception of idea till deployment and then Business as usual (BAU) support from Technology perspective.

The roles played: Some of the key roles that this position is expected to play:

Drive enterprise-wide digital transformation through Artificial Intelligence (AI), Robotic Process Automation (RPA), Data Science, and Data Analytics.

Lead initiatives aligned with strategic business goals, leveraging AI/ML, advanced analytics & intelligent automation to improve Product Lifecycle, Operations, R&D, Regulatory, Manufacturing, Quality, Sales, Supply chain, and Financial excellence

Key Interfacing Applications:

SAP ECC and SAP S/4 HANA

LIMS - Labware

Trackwise - QMS

eCTD ( Extedo) - Electronic submissions

OC/RDC - Oracle (CTMS)

eBMR, Manufacturing Execution Systems (MES) - Werum

L2 automation

PLC Upgrades, CSV

Track and Trace

Artwork Management - Global Vision

Robotic Process Automation / Artificial Intelligence

Dashboards-Tableau, PowerBI

Supply Chain, Scheduling, Supply Planning, Manufacturing Optimization

Waters - Empower Systems in Quality Labs

RA systems integration into Ops and Quality

Microsoft Fabric as a Data Lake on top of M365 - Email, One Drive, Teams and SharePoint + Microsoft Co-Pilot go forward

SAP - SAC - Analytics Cloud - SAP S/4 HANA

OVERALL JOB RESPONSIBILITIES:

Responsibilities:

Strategy & Roadmap

AI/ML & Data Science Management

Robotic Process Automation (RPA) Implementation

Project Management & Governance

Infrastructure, Cloud, and Integration Oversight

Training awareness, User / Stakeholder Adoption & Documentation

A. Strategy & Roadmap

• Define and execute the digital technology roadmap focusing on AI, RPA, and advanced analytics.

• Collaborate with business leaders, and global teams to identify key automation and analytics use cases.

• Evaluate emerging technologies for applicability in pharma operations (AI in Manufacturing, Quality, R&D, Regulatory, Supply Chain, Sales, Finance, Legal etc.)

• Conduct daily team stand-ups with IT internal teams (Developer, Infra team)

• Review Open task items for Project milestones / Support to ensure closure of same

• Monitor deliverables across AI model development, RPA bot creation etc.

• Review alignment of AI/RPA projects with business priorities and update executive sponsors.

B. AI/ML & Data Science Management

• Identify and manage projects involving machine learning, predictive modelling, NLP, Generative AI, etc.

• Collaborate with domain experts (R&D, Manufacturing, Quality, Regulatory, Sales, Supply Chain, Legal) to build and validate models.

• Supervise Machine Learning Operations lifecycle: data collection, model training, evaluation, deployment, monitoring.

• Develop AI applications / address use cases in R&D, Regulatory, Supply Chain, Manufacturing, Quality, Sales, Finance, Legal for process optimization, etc.

• Review model training/testing status from data science team.

• Oversee the pipeline for data ingestion, feature engineering, and versioning.

• Evaluate preliminary results from AI/ML models - accuracy, bias metrics.

• Provide direction on model fine-tuning, regulatory suitability.

• Collaborate with domain experts (R&D, Regulatory, QA, Supply Chain, Finance, Legal etc.) for training data validation and accuracy.

C. Robotic Process Automation (RPA) Implementation

• Identify and evaluate RPA opportunities in manufacturing, finance, HR, procurement, QA/QC

• Oversee RPA implementation life cycle: process assessment, bot development, testing, deployment, monitoring.

• Lead teams using tools like UiPath, Microsoft Power Automate

• Implement intelligent automation (IA) by combining RPA with OCR, AI, NLP

• Review RPA pipeline: Identify new automation candidates, prioritize based on Business priority / ROI.

• Monitor daily performance of deployed bots (transaction logs, exception reports).

• Approve process design documents (PDDs) and solution design documents (SDDs).

OVERALL JOB RESPONSIBILITIES

• Address any production failures or exceptions in bot execution with development teams.

D. Project Management & Governance

• Manage cross-functional teams (Data engineers, Data scientists, RPA developers).

• Define KPIs, resource plans, budgets, and timelines for digital initiatives.

• Manage vendor relationships and SLAs.

E. Infrastructure, Cloud, and Integration Oversight

• Design and maintain scalable architecture for AI on Glenmark Azure Private cloud

• Integrate digital tools with SAP ECC, SAP S/4 HANA, eBMR, LIMS, eCTD, Trackwise, IT Security SIEM systems.

• Ensure high availability, fault tolerance, and disaster recovery for AI infrastructure platforms.

• Check daily system health status of cloud-hosted models

• Ensure backups, DR protocols, and Log retention are operating correctly

F. Training awareness, User / Stakeholder Adoption & Documentation

• Training awareness sessions, user / stakeholder adoption

• Ensure proper documentation of all activities (service / projects) are maintained.

• Perform system validation activities, including creating and executing test scripts, generating validation documentation, and ensuring compliance with regulatory requirements (such as FDA 21 CFR Part 11/MHRA/EU Annex 11) as applicable for R&D, Regulatory, Manufacturing / Quality area

KEY RELATIONSHIPS/STAKEHOLDERS:

External

Principals/OEMS, Implementation Partners, Consultants, Vendors, Certification bodies and External auditors / agencies

Internal (other than Direct Reports)

Vice President IT, Sr. General Manager Information Technology, Business Heads (Domestic as well as Global locations), Functional and Departmental heads, All subordinates in concerned areas and span of control

DESIRED EXPERIENCE AND KNOWLEDGE

Educational Qualifications

Bachelor's in Engineering / Computer Science / IT

Master's degree (MBA, M.Tech, or MS in Data Science / AI) preferred.

Experience

12-15 years of progressive experience in IT, with at least 3 - 5 years in leadership roles in any Industry vertical

Proven experience leading AI, RPA, and data analytics transformation at scale

Knowledge and Skills (Functional / Technical)

Strong grasp of Data science tools, Statistical modelling, and AI/ML frameworks

Expertise in RPA tools and automation architecture.

Experience with cloud-native analytics and data engineering platforms.

Proven Integration experience and supporting IT systems across any Industry vertical

Knowledge of system validation methodologies

Familiarity with data integrity and data governance principles specific to pharmaceutical manufacturing and quality.

Vendor management

Proficiency in IT infrastructure, networking, and security principles within a manufacturing environment.

Behavioural Attributes

Communication and interpersonal skills

Problem solving and analytical thinking

Flexible & Adaptive to different working environments

Project and team management skills

Innovative approach

RECRUITING FOR -

TEACHING ASSISTANTS / JR. FACULTY (NON - TEACHING PROFILE / Teaching Assistant / Junior Faculty) - Subject Expertise - (Marketing, Economics, Finance Operations & Data Analytics)

(Non-Teaching; Only Tutorials)

STRICTLY ONSITE

Salary Range - As per prevailing market (Competitive for candidates pursuing PhD and having atleast 4 years industry experience in the chosen subject area of expertise)

Key Responsibilities

• Attend the weekly lectures conducted by the course instructors; ensure resource provision for the same
• Record attendance of the class for all sessions;
• Grade all assignments and exam answer books and establish the final grades for the students in their section(s);
• Conduct tutorials as scheduled
• Classes may be held on weekdays or weekends (subject to compensatory leave for having worked on a scheduled holiday)
• Any other teaching/learning tasks as deemed fit by Program Office – such as examination invigilation; attending presentation based student assessments etc.
• Assisting faculty members in different research activities, such as data collection; data cleaning; data analysis; proposal/report writing etc.

Qualifications

• Should have postgraduate qualification in any of the following subjects/disciplines –Business Management; Marketing, Economics; Commerce;

House of Shipping provides business consultancy and advisory services for Shipping & Logistics companies. House of Shipping's commitment to their customers begins with developing an understanding of their business fundamentals. We are hiring on behalf of one of our key US based client - a globally recognized service provider of flexible and scalable outsourced warehousing solutions, designed to adapt to the evolving demands of today’s supply chains.

We are hiring for a globally recognized U.S. based service provider that delivers warehousing solutions designed to meet the dynamic needs of today’s supply chains.

Job Description: Manager - Data Analytics & Network

Location: Chennai

Experience Required: 5–8 years

Department: Commercial

Reports To: Director - Commercial

Role Summary

The Manager – Data Analytics & Network will lead analytics-driven initiatives to enhance business performance, network efficiency, and operational excellence across supply chain operations. This role combines expertise in Business Intelligence (BI), data architecture, and network optimization, providing strategic insights to support cost optimization, service improvement, and business growth.

Key Responsibilities

• Lead the design, development, and implementation of end-to-end BI and network analytics solutions.
• Analyze warehouse and transportation network performance to id

About the Business

Tata Electronics Private Limited (TEPL) is a greenfield venture of the Tata Group with expertise in manufacturing precision components.

Tata Electronics (a wholly owned subsidiary of Tata Sons Pvt. Ltd.) is building India’s first AI-enabled state-of-the-art Semiconductor Foundry. This facility will produce chips for applications such as power management IC, display drivers, microcontrollers (MCU) and high-performance computing logic, addressing the growing demand in markets such as automotive, computing and data storage, wireless communications and artificial intelligence.

Tata Electronics is a subsidiary of the Tata group. The Tata Group operates in more than 100 countries across six continents, with the mission 'To improve the quality of life of the communities we serve globally, through long term stakeholder value creation based on leadership with Trust.’

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This leader will be a key strategic partner to business and technology executives, enabling insight-driven decision-making and scalable AI applications through modern data architecture and practices.

Roles and Responsibilities:

Data Analytics, Science and AI Enablement Leadership

• Lead the development and deployment of machine learning, generative AI, recommendation systems, and predictive models that improve product intelligence and automation.
• Build and scale AI capabilities across the platform, including personalization, NLP, anomaly detection, and customer segmentation.
• Ensure models are interpretable, ethical, and aligned with business and customer trust standards.

Business Analytics & Insights

• Drive insights into user behavior, product performance, churn prediction, and lifecycle value using customer and usage data.
• Develop dashboards, KPIs, and self-service analytics tools for marketing, product, sales,

About Inspire Brands:

Inspire Brands is disrupting the restaurant industry through digital transformation and operational efficiencies. The company’s technology hub, Inspire Brands Hyderabad Support Center, India, will lead technology innovation and product development for the organization and its portfolio of distinct brands. The Inspire Brands Hyderabad Support Center will focus on developing new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security to accelerate the company’s business strategy. Inspire Brands Hyderabad Support Center will also host an innovation lab and collaborate with start-ups to develop solutions for productivity optimization, workforce management, loyalty management, payments systems, and more.

RESPONSIBILITIES:

• Build and maintain HR dashboards, and metrics to track and measure key HR performance indicators.
• Collaborate with HR business partners, talent acquisition, compensation and benefits, and other stakeholders to understand their analytical needs and provide customized dashboards and insights.
• Stay updated with the latest HR analytics trends, tools, and technologies and recommend innovative solutions to enhance HR data Analyst capabilities.
• Provide training and guidance to HR team members on data techniques and tools.
• Ensure data accuracy, integrity, and security in all HR analytics processes and syste

Job Title: Performance Enhancement Lead – MarTech & Data Analytics

Summary: We seek a forward-thinking Performance Enhancement Lead who will drive data-driven marketing transformation by integrating MarTech capabilities with robust data analytics. This role will own the end-to-end marketing technology stack, performance marketing efficiency, and data insights to accelerate growth, customer engagement, and ROI.

THE HOUSE OF ABHINANDAN LODHA (HOABL)

The House of Abhinandan Lodha (HoABL) was founded in 2020, is India’s largest branded land developer, revolutionising real estate transactions through security, technology, transparency, and convenience. HoABL specialises in branded plots, offering a completely hassle-free virtual experience (i.e. selling land to its customers without any physical interaction with them) which is a first in India and probably even globally, while also pioneering the democratisation of land ownership by making this asset class accessible to a wider base of aspiring buyers across the country.

In just five years, HoABL has sold about 12 million sq.ft. of developed land—all without meeting a single customer face-to-face and ahead of promised timelines—and has around 30 million sq.ft. under active development. The company has expanded its footprint across prime locations such as Alibaug, Anjarle, Ayodhya, and Vrindavan, Dapoli, Goa, Khopoli, Nagpur, and Neral in Maharashtra, wi

About Axtria

Axtria is a global provider of award-winning cloud software and data analytics to the life sciences industry. Axtria’s solutions are used to digitally transform the entire product commercialization process, supporting RWE/HEOR, medical affairs, pricing and market access, product launch and post-launch, and marketing and sales operations to drive growth and improve healthcare outcomes for patients. Our focus is on delivering solutions that help pharmaceutical, medical device, and diagnostics companies complete the journey from data to insights to action and get superior returns from their investments. As a participant of the United Nations Global Compact, Axtria is committed to aligning strategies and operations with universal principles on human rights, labor, environment, and anti-corruption and taking actions that advance societal goals. For more information, visit

About Axtria's Products and Solutions

Axtria is proud to work with 16 of the top 20 life sciences companies. From our roots as a trusted consultant to our status as one of the world’s leading providers of cloud-based pharmaceutical management software , Axtria has been powering the digital transformation of life sciences. Our experts call upon years of domain experience in the industry to guide pharma giants from brand launches to retirement. Our products go even further. helps everyone from the C-suite to junior associates uncover trends to make better de

Overview:

We’re looking for a creative and driven Senior Analytics Engineer to join our high-performing Data Analytics team in a fast-paced Healthcare IT environment. This is a hands-on role for someone who’s passionate about turning complex business questions into elegant data models and actionable insights. You’ll partner with stakeholders across the company to shape data into a strategic asset and help us unlock the power of analytics and AI to drive decisions and innovation.

What You'll Do

• Partner with business teams to deeply understand their goals and translate them into elegant, scalable data solutions.
• Design and implement trusted data models (dimensional/star schemas) to support self-service analytics and robust decision-making.
• Bring clarity to complexity: translate raw data into intuitive stories, metrics, and visualizations that inspire action.
• Drive adoption of the Enterprise Data Model; build, extend, and maintain scalable dbt pipelines.
• Explore GenAI and ML opportunities to enhance our data products.
• Support CRM, marketing, and customer-facing teams with custom analytics solutions.
• Contribute to our DataOps culture by championing reliability, reproducibility, and automation across the stack.
• Collaborate on enterprise-grade dashboards and visualizations using modern BI tools.
• Manage and optimize our Databricks environment.


Insight Global



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