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Straive - Data Governance Lead

Straive - Data Governance Lead

SPI TECHNOLOGIES INDIA PRIVATE LIMITEDPune
30+ days ago
Job description

Job Title : Data Governance Lead.

Location : Pune / Hyderabad.

Job Type : Full time.

Years of Experience : 10+ years.

About Straive :

Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains.

Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision.

The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics.

Straive continues to be the leading content services provider to research and education publishers.

Data Analytics & Al Services : Our Data Solutions business has become critical to our client's success.

We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them.

With a client-base scoping 30 countries worldwide, Straives multi-geographical resource pool is strategically located in eight countries India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore.

Overview / Objective :

The Data Governance Lead will serve as a hands-on leader to drive the development and implementation of our enterprise-wide data governance framework.

This role is critical to solving current data challenges, including inconsistent business rules, unclear data ownership, lack of data quality standards, fragmented business taxonomies, and absence of a centralized data catalog.

The successful candidate will serve as a bridge between business and technical stakeholders to establish scalable governance practices that increase trust in data, reduce inefficiencies, and enable data-driven decision-making across the organization.

Responsibilities :

Governance Framework & Standards :

  • Design and implement a fit-for-purpose enterprise data governance framework.
  • Develop and maintain policies, procedures, and standards for data governance, including data ownership, stewardship, access, and usage.
  • Lead the rollout of role definitions for data owners and stewards across the business.

Business Rules & Taxonomy Management :

  • Partner with business units to identify, standardize, and document core business rules and data definitions.
  • Drive alignment and version control of business taxonomies, ensuring they are centrally maintained and regularly updated.
  • Establish a governance process for creating, updating, and retiring taxonomy elements and business rules.
  • Data Quality & Accountability :

  • Define and implement data quality dimensions (accuracy, completeness, timeliness, consistency, etc.) across key data domains.
  • Collaborate with functional leads to establish and maintain quality rules and thresholds.
  • Create a feedback loop to monitor data issues and ensure accountability for resolution.
  • Data Ownership & Stewardship :

  • Lead the identification and onboarding of data owners and stewards.
  • Facilitate training and engagement programs to support the ongoing participation of governance roles.
  • Establish a RACI model to ensure clarity of responsibilities and decision-making authority.
  • Metadata Management & Cataloging :

  • Lead the selection and implementation of a data catalog and metadata management solution (if not already in place).
  • Work with technical teams to populate and maintain metadata in a centralized platform.
  • Promote catalog adoption and usage across the enterprise.
  • Cross-Functional Engagement :

  • Partner with data platform, engineering, analytics, legal, compliance, and business teams to embed governance in daily operations.
  • Serve as a subject matter expert and advisor on data governance for major initiatives and projects.
  • Qualifications :

  • 10+ years of experience in data management, with 7+ years in Data Governance roles.
  • Proven track record designing and operationalizing governance frameworks at scale.
  • Strong knowledge of data quality principles, metadata management, business rules management, and metadata standards.
  • Hands-on knowledge with data governance platforms (e.g., Collibra, Alation, Informatic) is a plus.
  • Familiarity with Google cloud platform(GCP).
  • Exceptional communication and stakeholder management skills.
  • Ability to operate both strategically and tactically in a cross-functional environment.
  • (ref : hirist.tech)

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