Digital Officer

Structure

Digital_Analytics Team 1

Job posted on

Jul 04, 2025

Employee Type

Full Time

Experience range (Years)

0 - 0

**Job title**
- Digital officer (Analytics)

**Span**
- Central

**Function & Role**
- Digital Group

**Location**
- Vadodara

**Designation**
- Asst. Manager / Dy. Manager

**Reporting to (role)**
- Digital Manager (Analytics)

**Purpose Statement**
- Identifying opportunities to co-create business value by leveraging Smart Manufacturing (Industry 4.0, IoT, Manufacturing Analytics) emerging digital technologies in line with Aarti Management Systems & Digital Transformation journey and further implementing and supporting the same to create the desired business impact.

**Key Role & Responsibilities**
- This role, part of the Digital group, will be responsible for managing, execution and supporting multiple digital projects & initiatives to digitally transform the organization.
- Will work closely with his Manager for driving the Digital & Analytics (Smart Manufacturing) roadmap.
- Provide program management support for the Digital group in terms of project updates, budgeting, benefit realization and alignment to strategy.
- Identification, ideation, conceptualization, analysis and execution of Digital opportunities across the value chain including smart manufacturing (Industry 4.0, IoT) & Advance Analytics (ML/AI), digital workplace & customer experience across all pillars and verticals.
- Working closely with SMEs (management, plant staff, support functions etc.) to evangelize and elaborate digital transformation use cases and drive cultural change.
- Work closely with vendors/strategic business partners for planning, executing & supporting Digital projects.
- Actively research new trends and emerging technologies to see how they can bring business value.
- Bring newer ways of working, agility and innovation in solutioning.

**Internal & External Relationship**

**Function / Agency**

**Purpose of Interaction**

**Frequency**
- All Functions
- Daily
- Vendors
- Daily

**Job specification**

**Experience**
- 4-8 Years

**Qualification**
- BE or masters in Instrumentation / Chemical / Process / Mechatronics / Computer Science / Operation

**Certifications/Trainings**

**Competencies**

**Behavioural**
- Good team player, eager to collaborate and contribute to achieve common goals.
- Desire to learn and explore new concepts and features in systems, processes, and data analytics.
- Demonstrated ability to build lasting relationships with all internal stakeholders

**Functional**
- At least 3 years of industrial exposure in Smart Manufacturing (Industry 4.0) - i.e. IoT, data analytics, Cloud, MES, preferably in Manufacturing.
- Experience of driving Analytics journey in manufacturing industry would be an advantage
- Good Understanding & experience of Operation Technologies (OT systems) i.e. DCS, PLC, Sensors, various communication protocols, and IT-OT integration.
- Hands-on Experience with the implementation of Analytics platform on Cloud / Hybrid cloud platforms like AWS, Azure, GCP
- Basic understanding of Statistics, Mathematical Modeling, Python, Spark & Hadoop ecosystem, SQL, Digital Twin, Machine Learning, Deep Learning, Optimisation coupled with strong business sense would be an advantage.
- Well versed with data handling techniques - Data cleansing and feature scaling.
- Ability to transform proof of concept machine learning models into scalable production-ready solutions.
- Work in an agile and iterative manner on solving problems. and quickly implement solutions.
- Agility to learn and develop in-depth understanding of the business processes and linking the same for business insights through data analytics.
- Basic knowledge of project planning, executing, controlling and closing.
- Experience in managing big scale analytics deployment projects in a fast paced environment
- Excellent written/oral communication skills, especially for explaining complex data analytics concepts to non-technical stakeholders.
- Ability to assist in multiple projects simultaneously / multi-task
- Detail-oriented, self-motivated and highly organized with good problem-solving skills