CentricaSoft
Company:
https://www.linkedin.com/company/centricasoft
Seniority: Director
Industries: IT Services and IT Consulting
Job details:
Company Description:
CentricaSoft is a modern technology partner focused on Gen AI–driven enterprise data transformation. The company helps organizations unlock the full value of their data through advanced AI/ML solutions, large-scale data modernization, Master Data Management (MDM) solutions, and cloud-native architectures. Its services span business intelligence and analytics, data integration and governance, compliance and risk management, and DevOps operations. By delivering scalable data lake solutions, petabyte-scale processing, and Talent-as-a-Service (TaaS), CentricaSoft supports enterprises in making smarter decisions, improving efficiency, and driving innovation.
Key Responsibilities:
- Define and own the end-to-end product vision, strategy, and roadmap for the enterprise Product Master Data Management (MDM) platform (Technology Domain), ensuring seamless alignment and integration with downstream applications and source systems.
- Drive the complete product lifecycle from conception through large-scale MDM implementation, data onboarding, migration, and ongoing transformation programs.
- Act as the primary liaison between executive business stakeholders, Data Governance, and Engineering teams to prioritize features, manage the agile backlog, and translate business needs into technical specifications.
- Spearhead the strategic integration of AI/GenAI capabilities into the MDM platform to automate data profiling, Data Quality (DQ) rule development, and root-cause analysis.
- Establish enterprise-wide data quality frameworks and governance standards, ensuring the accuracy, consistency, and completeness of product structures, SKUs, and classifications.
- Guide cross-functional teams in resolving high-impact product data issues, complex mapping challenges, and product hierarchy discrepancies.
- Partner closely with Data Governance leadership to define data ownership, global standards, and comprehensive data dictionaries.
- Define platform success metrics, drive UAT sign-offs, and provide regular ROI and platform health updates to executive leadership.
Required Qualifications:
- Experience: 10+ years of overall experience in Enterprise Data Management, Master Data Management (MDM), Product Management, and Data Quality.
- End-to-End Product Leadership: Proven expertise operating as a Product Owner or Senior Product Manager, authoring strategic requirements, taking full accountability for driving an MDM product end-to-end, and interfacing directly with executive business stakeholders.
- Deep Ecosystem Integration: Extensive strategic experience mapping product data flows and integrating MDM platforms alongside complex enterprise ecosystems, specifically requiring hands-on knowledge of CPQ, NetSuite, Salesforce, Zuora, and overarching CRM systems.
- Domain Expertise: Extensive strategic and functional experience working with Product Master Data, SKUs, complex product hierarchies, configurations, and lifecycles.
- Reltio Mastery: Deep functional and architectural understanding of Reltio as an MDM platform in large-scale enterprise environments.
- Technical Acumen: Strong SQL background for oversight of source-to-target data analysis, reconciliation, and validation strategies.
- Data & AI Stack Knowledge: Strategic familiarity with modern enterprise data architectures, including Snowflake, and automated DQ tools like Ataccama.
- Industry Experience: Experience managing hardware, software, SaaS, or subscription-based product data models.
- Communication: Exceptional executive communication and presentation skills, with the ability to translate highly technical MDM and data governance concepts into clear business value.
What We Offer:
- Premium Compensation: We recognize and reward top-tier expertise by offering a highly competitive, industry-leading compensation package that significantly exceeds normal market standards.
Click on Apply to know more.