Titan

Techno-Functional Manager – Field Digital Transformation, Data & AI

Bengaluru, Karnataka, India

Actively hiring, first seen by us 3 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Own field-facing digital products end to end to raise sales-force productivity
Run roadmap and sprint execution for predictable, high-quality releases
Build leadership dashboards and KPIs for trusted, actionable insights
Design and build GenAI and agentic solutions that automate work
Ensure data quality, privacy and compliance for customer master data

From the employer’s posting

Own field-facing digital products end to end to raise sales-force productivity

Run roadmap and sprint execution for predictable, high-quality releases

Build leadership dashboards and KPIs that give trusted, actionable insights

Design and build GenAI and agentic solutions that automate work and add business value

Ensure data quality, privacy and compliance for customer master data

What you’ll bring

All qualifications

Core experience

3–10 years across Product/Project Management, Business Analysis, BI & Analytics, Software Development or Digital Transformation
Ownership, bias for action and comfort with ambiguity
Hands-on experience building AI/ML or GenAI solutions; production deployment is a strong plus

Qualification wording

3–10 years across Product/Project Management, Business Analysis, BI & Analytics, Software Development or Digital Transformation

Ownership, bias for action and comfort with ambiguity

Hands-on experience building AI/ML or GenAI solutions; production deployment is a strong plus

Apply at Titan

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 10, 20263 days ago
Recorded sightings: 4
Last seen by us: Nov 13, 2026
Employer says posted: Nov 2, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 4 and day 77.

From 51 similar postings that came down. Coming down is not always a hire.

Titan is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
Azure
dbt
Power BI
Tableau
Airflow
Node.js

Where the posting names them

- Data & BI: SQL, Data Modeling, Data Warehousing, Tableau, Power BI - AI & GenAI: Python, Generative AI, Large Language Models (LLM), Prompt Engineering, RAG, AI Agents - Customer Master Data: Master Data Management, Data Quality, Data Governance, deduplication

Must-have Skills - Data & BI: SQL, Data Modeling, Data Warehousing, Tableau, Power BI - AI & GenAI: Python, Generative AI, Large Language Models (LLM), Prompt Engineering, RAG, AI Agents

- Customer Master Data: Master Data Management, Data Quality, Data Governance, deduplication - Application & Cloud: AWS, REST APIs, ReactJS, Node.js, Mobile app releases - Delivery: Agile / Scrum, Product Management, Business Analysis, Requirements Management, UAT, Jira, Confluence

Nice-to-have Skills - Data: dbt, Datastage, Airflow, AWS Glue, Google Analytics (GA4), Mixpanel, CleverTap - MDM/CDP tools: Informatica, Reltio, SAP MDG, Salesforce Data Cloud

- Engineering: Microservices, serverless, CI/CD - Other: Figma; CSPO/PSPO, PMP, CSM, Tableau or AWS certifications; DPDP Act; CRM / SFA platforms Behavioural Competencies

- MDM/CDP tools: Informatica, Reltio, SAP MDG, Salesforce Data Cloud - AI: LangChain / LangGraph, CrewAI, Amazon Bedrock, Azure OpenAI, vector databases, machine learning - Engineering: Microservices, serverless, CI/CD

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Your next step

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Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

August 17Last week

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About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

Job Requirements

The Role

Act as the bridge between business and technology across several retail divisions
Own digital products, analytics, customer data and AI end to end
Understand business needs, shape solutions, and make sure they are delivered and actually used
Build solutions hands-on or lead vendor teams and interns
Combine the roles of Business Analyst, Product Owner, Project Manager, Data & BI Lead and AI builder
Work comfortably across stores, boardrooms and tech reviews

Key Responsibilities

Techno-Functional Manager – Field Digital Transformation, Data & AI: Own field-facing digital products end to end to raise sales-force productivity
Delivery: Run roadmap and sprint execution for predictable, high-quality releases
Platform Health: Keep platforms stable and fast, with fresh data and a reliable user experience
BI & Analytics: Build leadership dashboards and KPIs that give trusted, actionable insights
AI & Innovation: Design and build GenAI and agentic solutions that automate work and add business value
Data Governance: Ensure data quality, privacy and compliance for customer master data

How Success Is Measured

Active users %, retention and field CSAT
Roadmap adherence, sprint predictability and production defects
Uptime, load time and data freshness
On-time dashboard delivery, dashboard usage and manual reports retired
PoC-to-production conversion and measured business impact
Reconciliation accuracy and compliance adherence

Key Interfaces

External: Technology vendors, implementation partners, product and platform partners, consulting agencies
Internal: Business teams, sales and field force, marketing, IT and digital, BI and analytics, information security, PMO and leadership, data governance and privacy teams

Why Join Us

Wide scope across products, data, customer master data and AI in several divisions
Own a business-critical platform used daily by sales teams across India
Direct visibility with CXO-level leadership
Build AI that real users adopt, not just presentations
A fast-track path to larger digital product and AI leadership roles

Work Experience

Ideal Candidate

A high-potential techno-functional professional who bridges business and technology
Understands application architecture, data and GenAI well enough to design solutions and challenge partners
Can personally build AI prototypes and connect with field teams to drive adoption

Education & Qualifications

B.E./B.Tech in Computer Science, IT, Data Science or a related discipline (MCA or equivalent also considered)
MBA in Sales, Marketing, Systems or Analytics preferred

Experience

3–10 years across Product/Project Management, Business Analysis, BI & Analytics, Software Development or Digital Transformation
Proven delivery of web/mobile applications with development teams, ideally including vendor management
Hands-on experience building AI/ML or GenAI solutions; production deployment is a strong plus
Retail, consumer or Sales Force Automation (SFA) exposure preferred

Must-have Skills

Data & BI: SQL, Data Modeling, Data Warehousing, Tableau, Power BI
AI & GenAI: Python, Generative AI, Large Language Models (LLM), Prompt Engineering, RAG, AI Agents
Customer Master Data: Master Data Management, Data Quality, Data Governance, deduplication
Application & Cloud: AWS, REST APIs, ReactJS, Node.js, Mobile app releases
Delivery: Agile / Scrum, Product Management, Business Analysis, Requirements Management, UAT, Jira, Confluence
Functional: Retail sales KPIs (target vs achievement, footfall, conversion, ATV, UPT, LFL growth)

Nice-to-have Skills

Data: dbt, Datastage, Airflow, AWS Glue, Google Analytics (GA4), Mixpanel, CleverTap
MDM/CDP tools: Informatica, Reltio, SAP MDG, Salesforce Data Cloud
AI: LangChain / LangGraph, CrewAI, Amazon Bedrock, Azure OpenAI, vector databases, machine learning
Engineering: Microservices, serverless, CI/CD
Other: Figma; CSPO/PSPO, PMP, CSM, Tableau or AWS certifications; DPDP Act; CRM / SFA platforms

Behavioural Competencies

Clear communication and storytelling with data, from the store floor to the boardroom
Stakeholder management and influencing without authority
Ownership, bias for action and comfort with ambiguity
Empathy and a field-user-first mindset
Analytical, data-driven decision making
Continuous learning and an innovation mindset

Other Requirements

Languages: Professional fluency in English and Hindi; knowledge of other Indian regional languages is good to have
Travel: Willingness to travel to stores, field teams and regional offices as needed

Source details

View original posting ↗

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