Digitalization & Automation Manager

Gateway Search Pte Ltd; Pune District, Pimpri-Chinchwad; Presencial; INR 1.200.000 - 2.400.000; Jornada completa

Descripción de la vacante

Gateway Search Pte Ltd seeks an experienced Digitalization & Automation Manager to drive enterprise-wide AI-driven transformation, analytics, and automation initiatives in India. You will align digital strategies with business goals, lead cross-functional teams, and deliver measurable value through responsible AI and data governance.

The role requires strong leadership, strategic thinking, and hands-on experience in AI, analytics, and process optimization, with a focus on governance and ROI.

Formación

• Bachelor's degree in a related field.
• 6–10 years of experience in digital transformation, automation, or analytics.
• Experience with AI/ML and analytics platforms.
• Knowledge of data governance and responsible AI.
• Strong stakeholder and project management skills.
• Excellent communication abilities.

Responsabilidades

• Define and execute enterprise-wide AI, analytics, digitalization, and automation strategies aligned with business objectives.
• Lead integration of AI, machine learning, generative AI, and intelligent automation into core processes.
• Establish and manage an AI Center of Excellence to promote best practices.
• Develop frameworks for rapid adoption and data governance.
• Collaborate with leadership to identify opportunities and deliver measurable business value.
• Oversee data governance, privacy, and regulatory compliance.

Conocimientos

AI/ML

Analytics

Stakeholder management

Project management

Effective communication

Digital transformation

Educación

Bachelor's degree in Computer Science, IT, Engineering, Data Science, or related field

Herramientas

Power BI

Tableau

Descripción del empleo

We are looking for an experienced and results-driven Digitalization & Automation Manager to lead enterprise-wide digital transformation initiatives, AI-driven solutions, analytics, and business process automation. The ideal candidate will be responsible for aligning digital strategies with business objectives, driving innovation, improving operational efficiency, and delivering measurable business value through the effective implementation of AI, machine learning, generative AI, and advanced analytics.

The candidate will collaborate with cross-functional teams and senior leadership to identify opportunities for digitalization, optimize existing processes, and establish best practices for responsible AI adoption and data governance.

Key Roles and Responsibilities

1. Digital Transformation & AI Strategy

• Define and execute enterprise-wide AI, analytics, digitalization, and automation strategies in alignment with business objectives and growth priorities.
• Identify opportunities to automate business processes, improve operational efficiency, reduce costs, and enhance productivity.
• Develop and implement digital transformation roadmaps with measurable business outcomes.

2. AI & Automation Implementation

• Lead the integration of AI, machine learning, generative AI, and intelligent automation into core business processes, products, and services.
• Identify and implement automation solutions to streamline workflows, eliminate repetitive tasks, and improve decision-making.
• Evaluate emerging technologies and recommend suitable AI and automation solutions based on business requirements.
• Monitor the performance and effectiveness of implemented digital solutions.

3. AI Center of Excellence (CoE)

• Establish and manage an AI Center of Excellence to promote innovation, standardize best practices, and encourage collaboration across teams.
• Develop frameworks, guidelines, and reusable solutions to accelerate AI and automation adoption.
• Build internal capabilities and promote knowledge sharing across the organization.
• Lead initiatives to advance analytics from descriptive reporting to predictive and prescriptive analytics.
• Leverage business intelligence tools, machine learning, and data analytics to generate actionable insights.
• Translate complex data and analytical findings into practical business recommendations.
• Define and track key performance indicators (KPIs) to measure the impact of digitalization and automation initiatives.

5. Data Governance, Compliance & Responsible AI

• Establish robust data governance frameworks to ensure data quality, security, privacy, and regulatory compliance.
• Promote responsible and ethical AI practices, addressing risks related to bias, data privacy, transparency, and compliance.
• Develop policies and controls for secure and effective AI adoption across the organization.

6. Stakeholder & Project Management

• Collaborate with business leaders, IT teams, and cross-functional stakeholders to identify business challenges and deliver technology-driven solutions.
• Manage digitalization and automation projects from planning and implementation through deployment and performance evaluation.
• Communicate technical concepts, analytical insights, and project outcomes effectively to non-technical stakeholders and executive leadership.
• Ensure that projects deliver measurable business value and align with organizational KPIs.

Required Skills and Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Business Analytics, or a related field.
• 6-10 years of relevant experience in digital transformation, business process automation, AI/ML, data analytics, or technology-driven process improvement.
• Strong understanding of artificial intelligence, machine learning, generative AI, and advanced analytics.
• Experience implementing digitalization and automation initiatives within business functions.
• Knowledge of business intelligence and analytics tools such as Power BI, Tableau, or equivalent platforms.
• Understanding of workflow automation, intelligent process automation, and process optimization.
• Familiarity with data governance, responsible AI, data privacy, and regulatory compliance.
• Strong stakeholder management, project management, analytical, and problem-solving skills.
• Excellent communication skills with the ability to translate technology capabilities into business outcomes.

Preferred Skills

• Experience establishing or managing an AI Center of Excellence.
• Exposure to RPA tools such as UiPath, Automation Anywhere, or Microsoft Power Automate.
• Familiarity with cloud-based AI and analytics platforms.
• Experience working with enterprise systems, business intelligence solutions, and digital transformation programs.
• Relevant certifications in AI, data analytics, automation, or project management will be an advantage.

Key Performance Indicators (KPIs)

• Successful implementation of digitalization and automation initiatives.
• Improvement in process efficiency, productivity, and cost optimization.
• Measurable return on investment (ROI) from AI and automation projects.
• Reduction in manual effort and turnaround time.
• Adoption and effective utilization of AI and digital solutions across teams.
• Compliance with data governance, security, and responsible AI standards.