Application Tech Support Practitioner

Project Role : Application Tech Support Practitioner



Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge.



Must have skills : Data Governance



Good to have skills : Risk Management, Governance Risk Compliance (GRC)
Minimum

5 year(s) of experience is required



Educational Qualification : 15 years full time education



Summary:
As an Application Tech Support Practitioner, a typical day involves serving as the continuous point of contact between clients and the system or application. The role focuses on maintaining high standards of quality by effectively communicating with clients and internal teams to ensure smooth operation of world-class systems. This position requires attentiveness to client concerns, accurately identifying issues, and designing appropriate resolutions by leveraging comprehensive knowledge of the product. The role demands dedication to sustaining system reliability and fostering strong client relationships through consistent support and problem-solving.
Lead the enterprise Business Ontology and Knowledge Graph capability. Own standards, governance controls, and adoption of the semantic layer that ensures consistent business meaning, interoperability, AI readiness, and Policy compliance across data products and domains.



Roles Responsibilities:

Expected to be an SME, collaborate and manage the team to perform.

Responsible for team decisions.

Engage with multiple teams and contribute on key decisions.

Provide solutions to problems for their immediate team and across multiple teams.

Coordinate cross-functional efforts to ensure alignment and timely resolution of issues.

Mentor junior team members to enhance their skills and support their professional growth.

Continuously monitor system performance and recommend improvements to optimize operations.
Define and govern Business Ontology (business concepts, relationships, semantics) as a foundational governance artifact across domains
Design, implement, and govern Knowledge Graph data products aligned to approved ontology
Enforce machine readable standards (RDF, OWL, JSON LD) for automation, semantic search, and AI/LLM enablement
Run concept validation as a governance control and conduct quarterly ontology reviews
Establish and track ontology knowledge graph KPIs (completeness, accuracy, usage)
Partner with Data Stewards, Data Product Owners, Architects, and Platform teams to operationalize standards
Ensure integration of ontology and knowledge graph with metadata, catalog, lineage, and data products
Core Deliverables
Enterprise approved Business Ontology with governed lifecycle (create / update / retire)
Production ready Knowledge Graphs aligned to business domains and governance mandates
KPI dashboard showing QoQ improvement in ontology and graph quality and adoption
Audit ready evidence for Policy 41 compliance related to ontology and knowledge graph controls



Professional Technical Skills:



Must To Have Skills:

Proficiency in Data Governance, Governance Risk Compliance (GRC), Risk Management.

Good To Have Skills: Governance Risk Compliance (GRC), Risk Management.

Strong understanding of data quality frameworks and compliance standards.

Experience in developing and implementing policies for data security and privacy.

Ability to analyze complex data environments and ensure adherence to regulatory requirements.

Skilled in collaborating with stakeholders to align governance strategies with business objectives.
Required Experience
Senior experience in Business Ontology, Knowledge Graphs, and semantic layer governance
Strong hands on exposure to ontology modeling and knowledge graph standards
Experience defining governance operating models (RR, RACI, KPIs, review cadence)
Ability to influence across business and technology stakeholders
Preferred
Experience embedding ontology and knowledge graphs into data products, analytics, and AI use cases

The candidate should have minimum 5 years of experience in Data Governance.

This position is based at our Bengaluru office.

A 15 years full time education is required.



Qualification 15 years full time education