
BU Master Data Associate Director - Ops
- Hyderabad, Telangana
- Permanent
- Full-time
- Lead and manage a global Data Operations team providing 24x7 support for data platforms, pipelines, and critical business services.
- Oversee incident and problem management, ensuring timely resolution of tickets within defined SLAs and proactive reduction of recurring issues.
- Drive operational efficiency through the adoption of AIOps capabilities such as anomaly detection, automated alerting, root cause analysis, and self-healing workflows.
- Collaborate with engineering, DevOps, and infrastructure teams to ensure stable and scalable data environments across cloud and on-prem platforms.
- Define and monitor KPIs and operational dashboards, sharing insights and performance metrics with senior leadership on a regular cadence.
- Develop and standardize processes for change management, deployment governance, capacity planning, and business continuity.
- Lead continuous improvement initiatives including playbook automation, runbook maturity, and knowledge base development.
- Foster a high-performance, agile team culture with strong accountability, cross-training, and career growth pathways.
- Ensure adherence to security, compliance, and audit requirements in daily operations.
- Act as the escalation point for critical incidents and interface with business stakeholders for timely communication and impact management.
- Lead with accountability: Set clear expectations, inspire high performance, and build a culture of ownership and continuous improvement within your operations team.
- Champion AI and automation: Identify opportunities to implement AIOps and automation that reduce manual intervention, improve incident response, and enhance system reliability.
- Ensure operational excellence: Monitor KPIs, SLAs, and system health metrics to proactively manage risks, maintain uptime, and deliver superior service levels globally.
- Communicate with impact: Translate operational performance, root cause trends, and insights into clear updates for senior leadership and cross-functional stakeholders.
- Drive cross-functional collaboration: Work closely with engineering, infrastructure, and business teams to streamline issue resolution, enable platform scalability, and improve user experience.
- Enable continuous learning: Promote knowledge sharing, playbook development, and skill advancement across the team to improve response quality and reduce ticket turnaround time.
- Navigate complexity: Manage high-pressure situations across time zones, ensuring smooth handoffs, consistent service, and clear escalation paths for critical incidents.
- Proven expertise in managing 24x7 operational support, incident management, and ensuring adherence to SLAs in data engineering or analytics environments.
- Strong understanding of data platforms, ETL pipelines, and cloud ecosystems (AWS, Azure, or GCP).
- Experience implementing or working with AIOps platforms to automate alerting, resolution workflows, and root cause analysis.
- Demonstrated ability to lead large-scale operations teams, manage shift-based models, and drive process standardization and improvement.
- Strong interpersonal and stakeholder engagement skills, with the ability to communicate effectively with engineering, product, and senior leadership.
- Excellent problem-solving skills with a data-driven mindset and comfort handling ambiguity in high-pressure environments.
- Familiarity with tools like ServiceNow, Jira, or similar for operational tracking and reporting.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
- 12+ years of total experience in IT/data operations, with at least 3 years in a senior leadership or operations lead role.
- Proven experience managing mission-critical data operations in a 24x7 environment, preferably in a global, matrixed organization.
- Strong background in ETL workflows, orchestration tools (e.g., Apache Airflow, Control-M), and cloud-based data pipelines.
- Exposure to incident, change, and problem management processes, aligned with ITIL or SRE frameworks.
- Familiarity with AIOps tools and practices to drive intelligent automation and issue resolution.
- Experience managing onshore/offshore teams and working across multiple time zones.
- Demonstrated ability to define and report on KPIs/SLAs for operational performance and team productivity.
- Domain experience in healthcare, pharmaceutical ( Customer Master, Product Master, Alignment Master, Activity, Consent etc. ), or regulated industries is a plus.
- Partner with and influence vendor resources on solution development to ensure understanding of data and technical direction for solutions as well as delivery
- AWS Certified Data Engineer - Associate
- Databricks Certified Data Engineer (Associate or Professional)
- AWS Certified Architect (Associate or Professional)
- Familiarity with AI/ML workflows and integrating machine learning models into data pipelines
- N/A