Senior Manager - AI - MDM - Bangalore
Location: Bengaluru • Level: Senior Level • Openings: 1 • Type: Full-time
Job description
Job
Title: AI-First
Solutions & Capability Lead – Master Data Practice (AI-MDM)
Job
Location: Bangalore
Work
Model: WFO
Candidate
Expectations
Total
Experience and Relevant Experience:
Overall
experience: 15+ Years
Strong
relevant experience in Master Data Management (MDM), Data Governance, Data
Quality and Master Data operating models.
Experience
in solution architecture, offering development and enterprise transformation.
Experience
in developing AI-enabled operating models and next-generation service
offerings.
Candidate
Location: Any where
in India, Open to relocate to Bangalore
Skills –
Mandatory:
Strong
expertise in Master Data Management, Data Governance and Data Quality.
Understanding
of modern data architectures and MDM platforms.
Knowledge of
Applied AI, Generative AI, Agentic AI, Machine Learning and Data Science.
Experience
in solution architecture, transformation and offering development.
Strong
commercial understanding of managed services and outcome-based models.
Ability to
translate emerging technologies into practical business solutions.
Diversity: Any diversity
Education and Certification
Qualification:
Any graduate
Detailed
Job Description
JD:
We are
looking for a strategic and technology-oriented leader to reimagine and scale
the Master Data Management practice in an AI-first environment.
The role
will be responsible for developing next-generation Master Data offerings,
AI-enabled operating models and innovative commercial constructs while building
the capabilities, solutions and reusable assets required to deliver them at
scale.
This is a
high-impact middle-management leadership role with a strong focus on driving
business differentiation, growth and profitability.
Key
Responsibilities:
Portfolio
Transformation:
Transform
traditional Master Data Management offerings into AI-first, intelligent and
increasingly autonomous solutions.
Develop
next-generation MDM service offerings aligned with evolving business and
technology requirements.
Next-Generation
Operating Models:
Integrate
AI, Generative AI, intelligent agents, automation, data platforms and human
expertise.
Redesign
traditional Master Data operations through intelligent and technology-driven
operating models.
Commercial
Model Innovation:
Develop
innovative commercial constructs, including consumption-based, platform-based,
gainshare and outcome-based models.
Establish
commercial models that directly link business value delivered to commercial
outcomes.
Capability
and Solution Development:
Build
reusable Intellectual Property (IP), accelerators, solution architectures and
implementation playbooks.
Develop
delivery capabilities to industrialize and scale next-generation MDM offerings.
Business
Growth and Strategic Pursuits:
Collaborate
with Sales, Consulting and Delivery teams to drive strategic business pursuits.
Develop
compelling client propositions and convert innovation into business pipeline,
revenue and margin growth.
Technology
Ecosystem Development:
Leverage
relevant MDM, Cloud, Data and AI technology ecosystems.
Build
differentiated solutions by integrating emerging technologies and platforms.
Transformation
and Industrialization:
Drive
initiatives from conceptualization through implementation and
industrialization.
Build
scalable capabilities and transformation-led solutions to strengthen the
overall Master Data practice.
Key
Skills
Mandatory
Key Skills:
Master Data
Management (MDM).
Data
Governance and Data Quality.
Master Data
Operating Models.
Modern Data
Architectures and MDM Platforms.
Applied AI
and Generative AI.
Agentic AI,
Machine Learning and Data Science.
Solution
Architecture and Offering Development.
Enterprise
Transformation.
Managed
Services Economics.
Outcome-Based
Commercial Models.
Strategic
Business Development and Solutioning.
Cross-functional
Stakeholder Management across Sales, Consulting, Technology and Delivery.
Good to
Have Skills:
Development
of reusable Intellectual Property (IP) and accelerators.
AI-led
automation and intelligent operating models.
Platform-based
and consumption-based commercial models.
Gainshare
and value-based commercial constructs.
Cloud and
Data Technology Ecosystems.
Experience
in scaling and industrializing new service offerings.
Strong
business growth, profitability and market differentiation orientation.
Other
Specific Remarks
Additional
Requirements:
The role
requires a strong builder and transformation-oriented mindset.
The
candidate should be comfortable taking innovative ideas from conceptualization
through industrialization and large-scale implementation.
Should be
capable of working across Technology, Operations, Consulting, Sales and
Delivery functions.
Strong
commercial acumen with an understanding of revenue growth, profitability and
managed-services economics.
Should
demonstrate the ability to build differentiated capabilities and influence the
future direction of the Master Data practice.
Job ID: 2092