2 Demand Forecast Jobs

Chennai Career Event - Applications Invited for Upstream Demand Planner. Dear Candidates, Greetings from ExxonMobil! Please copy and paste the below link into your browser to apply for the position in the company website. Link to apply: https://jobs.exxonmobil.com/job-invite/80722/ ExxonMobil is organizing scheduled in-person interviews at Chennai on 5th & 6th July 2025 for Upstream Demand Planner. Work Location: Bengaluru (Last date to apply is 27th June 2025) Note: Shortlisted candidates will receive an interview invitation letter from recruiting team. Please find JD below, What you will do Job Responsibilities: 1. Coordinate, communicate, and align Consistently utilize ExxonMobil Upstream Supply Chain demand forecast processes regionally across the designated business unit (BU) and regionally, as applicable Critically assess data and understand implications needs to be able to recognize deviations from normal and make the right interface connections to validate data and/or correct data issues (high priority) Oversee and coordinate forecast updates / changes Liaise between internal business teams (Production Operations & Maintenance, Wells, Global Projects), Procurement and Supply Chain (Logistics, Materials Management, S&OP, etc.) Steer alignment between all parties Demand Planner leads the demand forecasting activity, demand planning meetings (including gainig alignment of alterntate scenarios) and validates the final unconstrained forecast Coordinate forecast updates / changes What you will do-Continue 2.Lead demand forecast process for Upstream activities (Production Operations & Maintenance, Wells, Global Projects) Create forecast of materials, equipment, raw materials, personnel, etc. needed to execute business activities Analyse and update bill of materials, activity durations and actual consumption data to improve forecasts Lead monthly meeting Drive alignment between Business Teams, Procurement and Supply Chain S&OP, as needed Review backward and forward looking outliers; provide recommendations Ensure material, equipment, raw materials, fuel, people, etc. is in line with Business Unit (BU) activity plans (attend S&OP meetings to stay engaged) Make and/or oversee high level adjustments Recommend and gain alignment of alternative scenarios to mitigate supply chain risks and/or provide opportunities that increase overall value for the Corporation Highlight opportunities where additional standardization could lead to additional value for the Corporation though scale and integration Steward demand planning Key Performance Indicators (KPIs) that are aligned with business partners, highlight KPI insights and recommend actions in Demand Planning Meeting Guide process and ensure defined tools and planning best practices are used (i.e. Advanced Planning System, Inventory Management System, Logistics Execution Tools) Ensure focus on key areas and trends within critical acitivities What you will do-Continue 3.Forecast modelling, stewardship, and improve activities Test and optimize tool settings to achieve better forecasts Implement interactive forecast processes, as necessary Generate alternate scenarios and align on defined scenarios with key stakeholders Review forecast accuracy, performance and sales input Recommend changes Identify and communicate tool and analytical improvements About You Required Skills & Qualifications Strong background in engineering, supply chain, statistics and/or analytics. Experience supporting supply chain activities for large scale operations preferred (particularly in Oil & Gas) 3 years or more of experience post-secondary school graduation Experience supporting supply chain activities for large scale operations Experience do you have supporting supply chain activities for large scale operations within the Oil & Gas industry Experienced in conducting analyses and providing data-driven recommendations for S&OP processes Proficiency with extracting information from ERP systems (such as SAP or Oracle) and utilize MS Excel to generate data insights Strong performer with ability to prioritize work strategically and independently while also functioning well within a global, virtual team Proven self-starter with strong collaboration and influence management skills; able to work effectively with all levels of the organization Strong communication skills (both written and verbal) Proficiency with extracting information from ERP systems (such as SAP or Oracle) and utilize MS Excel to generate data insights Perseverant and resilient in the pursuit of objectives; willing to take on new challenges Improve mindset; able to anticipate future opportunities and adept at evaluating new opportunities objectively Works well with others to deliver results and keeps key stakeholders informed to avoid unnecessary organizational churn Proficient in SAP Systems and MS Excel knowledge is critical Experienced in conducting analyses and providing data driven recommendations preferred. Thanks, Anita.

Department: GDAI (Global Data and AI) Product Supply & Quality Are you a people manager who is passionate about data engineering and possess hands-on ex-perience in the field? Do you have a robust technical background coupled with ability to guide, inspire, and manage engineering teams and projects within an organization? If so, we invite you to explore an exciting opportunity with us! We are seeking a Solution Delivery Manager to lead our Global Supply Chain Data & Analytics team at Novo Nordisk. Apply Now and join us in driving innovation and excellence in our data-driven solutions! The position You as a Solution Delivery Manager towards Global Supply Chain Data & Analytics will lead the tactical direction, development, and execution of the companys data-driven initiatives with a focus on Global Supply Chain as well as interfacing functions within the Product Supply and Quality domain. Key responsibilities for the role are: Data strategy & leadership : Develop and implement a tactical road map in close collaboration with LoB (Line of Business) to deliver on Global Supply Chains strategic aspirations within Data & Analytics. You shall act as a trusted partner within Data & Analytics towards Global Supply Chain, ensuring seamless integration of data from various sources (e.g., SAP, MES, Demand forecast, quality deviation) to Global Supply Chain pipelines. You shall ensure adherence to corporate data governance frameworks to ensure data quality, security, and compliance with regulatory standards (e.g., FDA, EMA, HIPAA). Advanced Analytics & Innovation : Lead the development and maintenance of data, advanced analytics products and platforms utilizing machine learning, AI (Artificial Intelligence), to drive business value in Global Supply Chain. Foster a culture of innovation, ensuring the team stays at the forefront of emerging technologies, such as AI-driven Digital twin, control towers. Technology Infrastructure & Tools : Oversee the design and management of scalable data architecture and technology platforms that support high-volume data processing (e.g., cloud-based infrastructures, data lakes). Oversee the management and integration of ERP, MES, SCM, QMS, sensor / IOT data, to support strategic aspirations in Global Supply Chain. Cross-Functional Collaboration : Partner with business teams to identify opportunities for leveraging data and analytics to drive improved technical operations. Partner with IT team supporting line of business to ensure the data and analytics solutions are well integrated in business architecture and business portfolio. Team Leadership & Development : Build and lead a high-performing and distributed team of product managers, data engineers, scientists, analysts, and technologists. Mentor and develop staff, fostering a data-driven culture and ensuring continuous professional growth within the team. Compliance & Risk Management : Ensure all data activities are compliant with global regulatory requirements and industry standards (e.g., GxP, 21 CFR Part 11). Oversee risk management strategies related to data privacy, security, and ethical use of data in Commercial. Maintain up-to-date knowledge of regulatory changes and drive compliance initiatives to minimize business risk. Performance Metrics : Manage and execute product portfolio within timeline, quality, budget. Ensure data and analytics are being used to drive informed decision-making across departments. Evaluate the development and retention of top talent, as well as team engagement and satisfaction. Qualifications To succeed in this role, you have: Masters degree or PhD in Data, Data Science, Computer Science, AI, or a related field. Overall 12+ years of experience as Data practitioner, with proven experience moving ideas into productive solution in a regulated industry and 5+ years of experience in data and analytics in Engineering leadership roles, with at least 3 years in life sciences or pharmaceutical industries in supply chain, manufacturing, and or quality is desirable. Proven track record of leveraging data and analytics to drive supply chain optimization, manufacturing efficiency in a highly regulated environment. Deep expertise in ERP, MES (Manufacturing Execution System), SCM (Supply Chain management), QMS (Quality Management System), Digital twins tools. Experience managing large-scale data platforms, including cloud computing, data lakes, and advanced analytics technologies. Familiarity with regulatory requirements and data standards specific to the life sciences. Experience working with cross-functional distributed teams. Experience with emerging technologies like IoT (Internet of Things), AI. Leadership and communication skills, with the ability to influence at various levels of the organization. Ability to work effectively in a matrix organisation. Adaptable to different situation and able to work with ambiguity. Ability to improve business process to demonstrate pragmatic use of data and AI and deliver impact.