Hiring Manager: Josh Reif
Talent Acquisition Advisor: Archana Namasivayam
Job Code Level: IGM3
Your Impact:The Director of Data Engineering and Operations will lead a global team responsible for OpenText's enterprise data engineering, data operations and data governance functions. This leader will be accountable for building and scaling foundational enterprise data capabilities enabling trusted, governed, and AI-ready data. The ideal candidate brings deep technical expertise in Microsoft Fabric, the Medallion Architecture, and Agile delivery practices, with a proven track record of implementing scalable data platforms and enabling AI/ML solutions through strong data foundations.
This role requires a hands-on leader who can drive the design and execution of metadata-driven ingestion frameworks, orchestrate the transformation of raw data into curated, analytics-ready assets, and ensure operational excellence across the data lifecycle. The Director will partner closely with business and technology stakeholders to prioritize delivery, enforce governance, and accelerate the development of AI-enabled data products. Experience with deploying data science models and integrating LLMs into enterprise workflows is highly desirable.
What the role offers:As a Director, Data Engineering & Operations you will:
- Lead the global Data Engineering and Operations organization, including data engineering, data governance, and data operations teams.
- Own the implementation, and evolution of OpenText's Fabric-based data platform, including medallion architecture (Bronze, Silver, Gold).
- Drive the development of metadata-driven ingestion and transformation frameworks to support scalable, governed data pipelines.
- Establish and enforce enterprise data governance policies, including data quality, lineage, access control, and certification of Gold datasets.
- Partner with business and product teams to prioritize data domain onboarding and deliver trusted, AI-ready data products.
- Enable AI and data science teams by ensuring data is curated, accessible, and aligned with model training and inference needs.
- Champion Agile delivery practices and lead the adoption of SAFe-aligned ways of working across the data organization.
- Collaborate with security, compliance, and architecture teams to ensure platform resilience, privacy, and regulatory alignment.
What you need to succeed:- 10+ years of experience in data engineering, data operations, or Engineering and Operations leadership roles, with at least 3 years leading global teams.
- Proven experience implementing enterprise-scale data platforms using Microsoft Fabric, Azure Synapse, or similar cloud-native architectures.
- Deep understanding of the Medallion Architecture and experience operationalizing Bronze, Silver, and Gold data layers.
- Hands-on experience with data science workflows, including enabling ML/AI models and integrating LLMs into enterprise applications.
- Strong knowledge of Agile delivery frameworks; SAFe certification is a plus.
- Demonstrated ability to lead cross-functional teams, manage complex programs, and deliver measurable business outcomes.
- Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business value.
Compensation: At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. As you move through the hiring process, we're happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.
AI Usage Disclosure: As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our recruitment process, including resume screening, candidate matching, interview scheduling, and communications. These tools are designed to improve efficiency, reduce bias, and enhance candidate experience. All decisions regarding hiring are made by qualified human professionals, and we continuously monitor our AI systems to ensure fairness and compliance with applicable regulations.
