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Technology Risk Management Specialist in Chennai

82 active opportunities · Updated October 2026

Explore current technology risk management specialist jobs in Chennai. Filter by work mode, employment type, experience, department, date posted and distance.

TI
📍 Chennai, Tamil Nadu, India· Full-time
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TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. About TEGNA TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across the web, mobile apps, streaming, and linear television. Together, we are building a sustainable future for local news. Data Scientist TEGNA is seeking a highly skilled, innovative, and analytical Data Scientist to lead end-to-end development of advanced models and insights across our multi-platform media ecosystem spanning TV, digital, streaming, social, and mobile. This role is central to transforming large-scale viewership, content, and sales datasets into predictive models, optimization frameworks, and actionable insights that support content strategy, personalization, audience growth, and revenue performance. The ideal candidate is passionate about experimentation, machine learning, and building scalable data and ML solutions. You will collaborate with engineering,product, editorial, sales, and analytics teams to translate complex, ambiguous business challenges into measurable, data-driven outcomes. What You’ll Do Lead the full data science lifecycle: problem framing, hypothesis development, feature engineering, model development, validation, and deployment planning. Develop and operationalize machine learning models across forecasting, personalization, c

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MI
📍 Chennai, India· Full-time
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About Hexnode Hexnode is a global leader in Unified Endpoint Management (UEM), trusted by over 100 countries and managing millions of devices worldwide. With a rapid pace of innovation, we have established ourselves as a dominant force across Apple, Windows, Android, macOS, Linux, and tvOS. Fuelling the transformation to a seamless ecosystem of connected tools, Hexnode is revolutionizing the enterprise software and cybersecurity landscape. Job Overview: In this role, you will not just oversee ticket resolution; you will lead the evolution of our support culture by implementing the Technology Acceptance Model (TAM) to ensure long-term product adoption and client success. As a linchpin of our 24/7 global operations, you will manage critical handovers and ensure our response times remain industry leading. Responsibilities: · Manage and mentor a shift of Technical Support Engineers, fostering a high-performance environment focused on technical growth and empathy. · Oversee the Shift Handover process to the incoming Lead, ensuring zero data loss and continuity of service for all high-priority issues. · Guarantee that all incoming tickets are triaged and dispatched within defined response times to meet and exceed global SLAs. · Conduct deep-dive analysis of incident patterns to identify root causes and provide strategic suggestions for incident management improvements. · Partner with Engineering and Product teams to function as the "Voice of the Customer," ensuring technical feedback directly influences the product roadmap. · Stay at the forefront of UEM trends and provide advanced training sessions for both high-value clients and internal technical stakeholders. Requirements: · 10+ years of total technical support experience, with at least 4–5 years in a formal leadership or supervisory role, preferably within a SaaS environment. · Mandatory, deep-seated expertise in Unified Endpoint Management (UEM) and its ecosystem. · Advanced Technical Exposure: Direct experie

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