302 Technical Operations Jobs - Page 13

Summary Lead TechOps eCompliance team in the development and implementation of eCompliance Strategy for Novartis TechOps. Leads the integration of IT and OT eCompliance, modernizes technology, and enhances Quality Assurance oversight within Novartis Technical Operations. Collaborates with eCompliance stakeholders, cross-functional partners, CIO, Data Integrity colleagues, and key stakeholders while employing strategic thinking to drive initiatives forward. Identifies, measures, remediates, and monitors regulatory risks associated with eCompliance in Technical Operations, ensuring strong quality oversight and adherence to Good Manufacturing Practices (GMP). Drive the AI readiness and competency building for the eCompliance organization by identifying and ensuring training staff on AI technologies, integrating AI with existing compliance systems, and ensuring data integrity and security. Continuous evaluation of AI performance and adherence to ethical guidelines will further align organizational processes with cutting-edge technological advancements. About the Role Head of eCompliance, Technical Operations Location Hyderabad #LI Hybrid About the Role: Responsible for complex Global master data management processes (e.g. cross-divisional set-ups etc.) focused to ensure accurate and timely preparation and maintenance of master data in the SAP ERP system, in accordance of Supply chain operational activities in compliance with the GxP & Regulatory requirements, internal regulations (e.g. Novartis Quality Manual), Good Practices, and business objectives. Key Responsibilities: Enable integrated insight planning in partnership with CMA Insights and TA/DA teams supporting the definition of key business questions (KBQs), aligning on insight objectives, and ensuring timely, high-quality delivery of insight outputs that inform strategic planning. Align the insights execution team with CMA Insights strategic direction and shared enterprise goals. Anticipate evolving TA/DA needs and ensure insights are embedded early in decision-making to shape brand strategy and drive clarity.Lead the team in synthesizing insights from diverse sources medical, commercial, patient, access and external to generate clear, actionable recommendations that inform strategic choices. Collaborate closely with Market Research and Competitive Intelligence teams to align on research objectives, share findings, and co-develop integrated insights that reflect real-world market, patient, and healthcare system dynamics. Govern insight integration through a structured cadence and operating rhythm ensuring that external signals, human behavior insights, and field intelligence are continuously synthesized and fed into strategic decision-making. Enable transparent governance around demand and capacity management to prioratize the most impactful areas of work in collaboration with CMA insights. Build and scale insight capabilities across the team by fostering best practices in synthesis, storytelling, and stakeholder engagement Demonstrated systems thinking with the ability to connect and synthesize insights across medical, commercial, patient, and external data sources Familiarity with data sources, methodologies, and tools used in insights generation. We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Essential Requirements: University degree and MBA or professional qualification in related field, e.g., business, life sciences 15+ years in Pharma Commercial/Consulting//relevant areas, preferably with experience building business and P&L / topline accountability. 5+ years experience in people management Ability and expertise in engaging senior partners and influencing strategic decision-making. Proven ability to work in a matrix and geographically dispersed environment with problem-solving skills utilized to identify customer issues and deliver solutions. Good understanding of pharmaceutical commercial data landscape and domain experience. Experience in remote relationships (on-shore/off-shore capability delivery) Desirable Requirements: Deep understanding of pharmaceutical commercialization processes. Familiarity with global and local market dynamics in healthcare. Experience managing teams and cross-functional collaboration.

Changing the world through digital experiences is what Adobe s all about. We give everyone from emerging artists to global brands everything they need to design and deliver exceptional digital experiences! We re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!Adobe Document Cloud Services in building cloud services and cloud platform from ground up to help Adobe expand the footprint of Adobe Document Cloud to billions of users across devices and surfaces. With all the innovation happening in machine learning domain around Documents, Adobe Document Cloud is leading and redefining the way world interacts with documents and document workflows.Adobe Document Cloud Services team is looking for a dedicated, highly motivated engineer and technical problem solver to join a high-caliber fast paced team. The engineer is encouraged to have deep experience of building low latency, high performance distributed ML services and systems.What you will do: Developing and deploying ML services from zero to production. Designing, developing and testing of large scale, performant ML services which serves large numbers of users across the world. Must have skills: Min. 4 years of work experience in design and development of ML services and software systems. Experience in Python B.S/B.E./B. Tech. in Computer Science or equivalent engineering degree Proven expertise in distributed systems and building RESTful services Preferred skills: Experience with LLMs Experience with other backend languages like Java Experience with technical operations and CI/CD Familiarity with Docker and Kubernetes Familiarity with monitoring systems like NewRelic, Grafana etc .