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Techno-Functional Manager – Field Digital Transformation, Data & AI
Bengaluru, Karnataka, India
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingOwn 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 qualificationsCore 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
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 10, 2026today
- Recorded sightings
- 1
- 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
Titan is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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
Your next step
Complete your application on careers.titan.in. The employer’s form will show what is required.
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Demand for Analyst roles
New Analyst postings at the employers we follow are up 24% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
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About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
Job Requirements
Work Experience
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
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.