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SR MGR-Business Solutions, Data & AI

Kohler India Corporation -
Gurugram, Haryana

Apply Now

Job details

Qualifications

CI/CD
Image processing
Cloud infrastructure
Azure
Law
Computer Science
Spark
Master's degree
AWS
Bachelor's degree
Machine learning
Data management
Continuous integration
Natural language processing
Blueprint reading
APIs
Scalability
Kafka
Data science
Metadata
Solution architecture
AI
MBA
Design patterns

Full job description

About Us

At Kohler, our mission is to help people live gracious, healthy, and sustainable lives. We believe that empowering our associates is essential to making this vision a reality. That’s why we invest in personal and professional growth, encourage collaboration across teams and functions, and offer a comprehensive wellness package that supports the well-being of every team member.

Kohler is an equal opportunity employer. Along with competitive compensation and benefits, we offer something more enduring—a legacy built on bold innovation, creative excellence, and a deep commitment to our people and communities. Learn more about our culture and career opportunities at www.kohler.co.in/careers.

Our approach to hiring reflects our commitment to Global Inclusion. We recruit, hire, and promote qualified individuals in all roles without regard to race, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, or disability. If you are an individual with a disability and require reasonable accommodation during the recruitment process, please let your recruiter know so we can support you appropriately.

SR MGR-Business Solutions, Data & AI

Job Description

Job Title : Sr Manager, Business Solutions, Data & AI

Key Responsibilities :

As the Sr Manager, Business Solutions, Data & AI, this role is responsible for leading the Data & AI charter for Kohler South Asia, driving strategic initiatives across the organization. A key focus is to embed AI capabilities within each business function to enhance productivity and operational effectiveness. Additionally, the position ensures that the data architecture remains robust and of high quality, recognizing its critical importance as the backbone of AI and other digital products.

1. ‘Data & AI’ Strategy & Create Demand

Visionary Leadership: Define and evolve the Kohler South Asia-specific Data & AI roadmap, aligning it with global business objectives. Bring in ‘Outside In’ view and should be aware of what’s happening in the world of AI & Data. This role needs to be a Data & AI evangelist for the company
Use Case Identification: Partner closely with business unit leaders to understand the As Is process end to end and identify "low-hanging fruit" and "moonshot" opportunities where Data & AI can drive revenue or operational efficiency.
Value Quantification: Define KPIs and ROI frameworks to monitor the success of AI initiatives from inception to review.
Business Solution Design: Brainstorm on & analyze the requirements with stakeholders and expose them to the Art of possible with Data & AI

2. Business Partnership & Create the ‘Data & AI’ Culture

Culture of AI: Create a culture of AI to ensure each associate at Kohler South Asia uses AI to improve his/her productivity; Develop a change management strategy for the organization using gamifications etc
Ensure Adoption of Copilot & other AI uses cases along with Data & Analytics Dashboards

3. Technical Architecture & System Integration

Data Foundations: Designs, defines, and documents enterprise data architecture, creating ER diagrams, standards, and models to ensure scalable, governed, high-quality data solutions. Evaluate and optimize existing data architectures to ensure they support scalable AI models.
Data Structure & Governance: Own the Data Structure for the region and ensure quality of data i.e completeness, accuracy. Own the Governance & Master Data Management for Kohler South Asia
Tech Stack Selection: Select the right LLMs, frameworks, and infrastructure (Cloud/On-prem) tailored to specific business needs.
Legacy Integration: Deep-dive into existing systems to ensure seamless data flow and integration between new AI agents and core business platforms.

4. Execution & Stakeholder and Vendor Management

Orchestration: You will act as the "Technical Product Owner," translating business requirements into technical specs for external development teams.
Vendor Selection: Lead the RFP process, evaluate vendor technical capabilities, and manage the delivery lifecycle.
Product Delivery: Work with the Regional Product team & global AI CoE to deliver capabilities & use cases
Quality & Review: Conduct rigorous code reviews, architecture audits, and performance monitoring to ensure vendor output meets global standards.
Proof of Concept: Passionate about building your agents and playing around with different LLMs; collaborate with Architecture Office & AICoE.

Required Qualifications

Technical Mastery: 12+ years of experience in IT/Software, with at least 5 years dedicated to AI/ML and Data Science and at least 5 years in Business Partnering roles.
Architecture Depth: Strong expertise in Data Architecture, Data Lakes, and real-time processing systems. You should be able to "speak the language" of data engineers and developers fluently.
Vendor Management: Experience managing high-end technology partners, ensuring they deliver quality on time.
Education: B.Tech/M.Tech in Computer Science, Data Science, or a related field. An MBA is an added advantage

Technical Skills Required

1. Artificial Intelligence & Machine Learning

Core ML Fundamentals

Supervised & Unsupervised Learning
Deep Learning architectures (CNNs, RNNs, Transformers)
NLP & Computer Vision fundamentals
Time-series forecasting
Recommendation systems

GenAI & LLM Expertise

LLM evaluation and selection (open-source vs enterprise-grade)
Prompt engineering frameworks
Fine-tuning vs RAG-based architectures
Embeddings and vector search mechanisms
Multi-agent orchestration
Guardrails, hallucination mitigation techniques

2. Data Architecture & Engineering

Enterprise Data Architecture

Data Lake / Lakehouse design patterns
Data Warehouse architecture
Data Mesh / Domain-driven data concepts
Master Data Management (MDM)
Metadata management

Data Engineering

ETL / ELT pipeline design
Real-time streaming (Kafka or similar)
API-based integration patterns
Data quality frameworks
Data governance controls

Storage & Processing

Structured & unstructured data handling
Vector databases (for RAG architectures)
Distributed processing frameworks (Spark, Databricks, etc.)

3. Understanding of Cloud & Infrastructure

Azure / AWS / GCP architecture design (Azure desired)
AI-native services (Azure OpenAI, SageMaker, Vertex AI, etc.)
CI/CD pipelines for ML (MLOps)

4. Security, Governance & Responsible AI

AI governance frameworks
Data privacy regulations awareness
Role-based access controls
Secure model deployment
Ethical AI and bias mitigation principles
Audit logging and traceability mechanisms

5. Architecture & Design Skills

Solution architecture documentation
Technical blueprint creation
Scalability & performance design
High-availability system design
Build vs Buy evaluation frameworks
Cost optimization modeling (cloud & AI workloads)

6. Technical Evaluation & Vendor Oversight

Code review capability
Architecture review capability
RFP technical evaluation
SLA and performance governance
Benchmarking and proof-of-value validation

Mandatory Skills

Data Architecture, Data & Ai, Technical Architecture, Stakeholder Management

Location

Gurgaon, Haryana, India

Experience

12 to 15 years

Apply Now

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