BENGALURU · FULLTIME
Data, BI and AI Provisioning Lead
Kinara
Bengaluru · onsite · Posted 4d ago
Sourced from
Undisclosed10–15 yrsfulltimeBengaluru
Your match
?
Sign in to see your match score, skill gaps & tailored resume.
Section · 01
About this role
Role Summary
The Data Provisioning Lead is responsible for translating business demand into governed data products that enable analytics, AI, and business decision-making.
This role acts as the bridge between Business, IT, Data Engineering, Data Governance, and Platform teams to ensure timely delivery of secure, high-quality, and compliant data products.
Key Responsibilities
Data Product Management
Own the intake, prioritization, and delivery of data product demand.
Translate business requirements into actionable delivery plans.
Drive adoption and business value realization of data products.
Manage a portfolio of data products across multiple business domains.
Stakeholder Management
Act as the primary interface between business stakeholders and delivery teams.
Facilitate requirements workshops and stakeholder alignment.
Manage dependencies, risks, priorities, and escalations.
Promote strong collaboration across IT and business functions.
Delivery Leadership
Coordinate Data Engineers, Architects, Governance, and Platform teams.
Lead delivery from ideation through deployment and adoption.
Ensure delivery milestones, timelines, and quality objectives are achieved.
Support resource planning and demand orchestration.
Governance & Quality
Ensure compliance with data governance, security, and quality standards.
Drive metadata, lineage, ownership, and stewardship practices.
Support implementation of data quality controls and monitoring.
Enablement
Coach and enable domain teams in data product development.
Drive adoption of standards, best practices, and reusable patterns.
Promote a data product-centric operating model.
Qualifications
Bachelors or Masters degree in Computer Science, Information Management, Data Engineering, or related field.
10+ years of experience in Data & Analytics, Data Engineering, Data Governance, or Product Management.
Proven experience leading cross-functional data initiatives.
Strong stakeholder management and communication skills.
Experience working in Agile/Scrum environments.
Preferred Skills
Databricks
Unity Catalog
Data Governance & Data Quality
AWS and/or Azure
SQL & Data Modeling
Jira / Agile Delivery
Data Analytics and Data Product Management
Success Measures
Timely delivery of governed data products.
High stakeholder satisfaction.
Strong data quality and governance compliance.
Increased data product adoption and reuse.
Effective orchestration of business and technical teams.
This is a Senior lead role with enterprise-wide influence, responsible for a portfolio of strategic data products, stakeholder management, delivery leadership, and driving data product excellence across the organization.
More information about NXP in India...
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Let the agent run this one for you.
Tailored resume, auto-apply, and referral lookup — in under 2 minutes.
Section · 02
Skills
data qualityAgileinformation managementamazon web servicesBusiness RequirementsmetadataAgile DeliveryAnalyticsData AnalyticsdeploymentDatabricksData EngineeringJira AtlassianCommunication SkillsData GovernancecomplianceMicrosoft AzureData ModelingArtificial Intelligence
Section · Company
About Kinara
Kinara
Biotechnology
None
CU
₹25L PA avg
Avg at Kinara
About
Kinara delivers unrivaled edge AI solutions to accelerate and optimize real-time decision-making by powering smart edge devices and gateways that demand responsive AI computing at high energy efficiency. The company focuses on innovative technologies that enhance performance and energy efficiency in AI applications. By providing comprehensive support and training, Kinara ensures customers can effectively utilize their products and solutions.
Industries
AI InfrastructureArtificial Intelligence (AI)Computer VisionSemiconductorSoftware
Employee ratings
6 reviews
3.8/ 5
Culture
3.7
Career growth
3.2
Work-life
3.8
Employees rate it well for
Company Culture45Work-Life Balance43
Find them on