Sr Manager - Finance and Accounting

Senior Business Intelligence Analyst

Senior Systems Analyst – DotNet Developer Full stack

Manager, Site Logistics & Project Integration

IBM Infosphere DataStage Developer

Trade Finance Officer

Lead AI Engineer

Business Intelligence Developer

Staff Engineer - AI/ML

Principal Applied Data Scientist

Responsibilities: Financial Reporting &amp; Compliance: <ul><li>Prepare accurate monthly, quarterly, and annual financial statements.</li><li>Ensure compliance with applicable accounting standards (Ind AS, IFRS, or US GAAP).</li><li>Manage period-end close processes and general ledger reconciliations.</li><li>Support external and internal audits, ensuring timely resolution of audit points.</li></ul> Cost Accounting &amp; Inventory Management: <ul><li>Monitor and manage inventory valuation, batch costing, and cost of goods sold (COGS).</li><li>Conduct standard vs actual cost variance analysis.</li><li>Collaborate with manufacturing and supply chain teams for real-time cost tracking.</li></ul> Taxation &amp; Regulatory Compliance: <ul><li>Handle GST, TDS, and income tax compliances including returns, reconciliations, and assessments.</li><li>Assist in regulatory compliance relevant to the pharmaceutical industry (e.g., NPPA, CDSCO).</li><li>Maintain records for transfer pricing and other compliance reports (e.g., Form 3CD).</li></ul> Accounts Payable &amp; Receivable: <ul><li>Oversee vendor payments, import transactions, and ensure proper accounting treatment.</li><li>Monitor receivables, perform aging analysis, and coordinate with sales teams for collections.</li><li>Conduct periodic reconciliation of vendor and customer accounts. 5. Budgeting, MIS &amp; Financial Planning</li><li>Assist in annual budgeting and rolling forecasts.</li><li>Provide financial analysis and reports to management (sales trends, cost analysis, profitability reports).</li><li>Develop and automate MIS for enhanced decision-making.</li></ul> Requirements: <ul><li>Minimum 10 years of experience in accounting/finance roles; at least 3–5 years in a senior or lead role.</li><li>Experience in pharma or manufacturing industry is highly preferred. •	Strong knowledge of accounting principles, tax laws, and cost accounting.</li><li>Hands-on experience with ERP systems (SAP, Oracle, Tally, etc.)</li><li>Proficiency in MS Excel and financial reporting tools. •	Strong analytical thinking and problem-solving skills.</li><li>Excellent communication, leadership, and organizational abilities. Nice to Have:</li><li>Experience in handling audits for pharmaceutical R&amp;D or DSIR-registered entities.</li><li>Knowledge of pharma-specific compliance (NPPA reporting, drug pricing, etc.)</li><li>Exposure to internal controls, SOX compliance, or process improvement initiatives.</li></ul>

Role Description: <ul><li>The Continuous Improvement EMIA team reports to Operations Automotive EMIA.</li><li>By providing new generation digital solutions to our Operational teams across EMIA, our team creates full transparency and speed in the ongoing digital &amp; lean transformation(s), which will enable all involved functions to leverage data to develop business insights and roadmap updates based upon clearly arranged and understandable data. Due to the extended scope, focusing also on the connecting processes from Supplier(s) to Manufacturing ending at the Customer(s) (internal and external) we will function as ‘the’ differentiator for our Company.</li><li>The Data Scientist Automotive EMIA will report to the Smart Factory Leader Automotive EMIA.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Lead projects and work together with our Automotive EMIA Operations plants, internal (IT, , Corporate Technology, CoE, SC, ..) and external partners in the area of Smart Factory (Applications, ML, AI, DL), aligned with Operations Automotive EMIA Strategy.</li><li>Lead Smart Factory improvement projects (Enhancements) of existing applications together with internal / external supplier and customers (project management) until the level of RTD (Ready To Deploy)</li><li>·Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems.</li><li>Identify and interpret data sources, manage large amounts of data, merge data sources together, ensure consistency of datasets, create visualizations to aid in understanding data.</li><li>Develop, Validate and Deploy (including Training and Coaching of the users) until the level of RTD (Ready To Deploy), Digital Factory Applications, ML models, contributing to waste elimination and efficiency improvements within all Operations functions (Manufacturing, Quality, SC, LOG, ….), this together with our internal and external partners.</li></ul>&nbsp;Requirements: Desired candidate &amp; Qualification <ul><li>Good understanding of a technology driven manufacturing company.</li><li>Knowledge of the core manufacturing technologies: Stamping, Plating, Assembly, Molding.</li><li>Experienced with data visualization tools like PowerBi, Tableau, ThingWorx,..</li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li><li>Development experience in programming languages R, Python.</li><li>Knowledge, experience in JAVA scripting</li><li>Excellent pattern recognition and predictive modelling skills.</li><li>Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, neural networks and deep learning etc.</li><li>Experience in technologies like, Jupyter Notebooks, Numpy, Pandas, Seaborn, Scikit-learn, PyTorch and TensorFlow.</li><li>Exposure to recent developments in Deep Learning, Gen AI, Agentic AI domain.</li><li>Database skills, on-premises and cloud based.</li><li>Experience in AWS is an advantage, functional knowledge of AWS platforms such as Sagemaker, S3, and RedShift.</li><li>Excellent presentation skills in both spoken en written English.</li><li>&nbsp;Excellent and strong communicator</li><li>The ability to translate, explain and bring, complex data science topics to an easy understandable level, speeding up acceptance level in general.</li><li>Bachelor or master’s in data science</li><li>Team player with a solution focused problem-solving mentality.</li><li>Change agent with high Execution level, including training and coaching talents.</li><li>Passioned about the combination of Technology, Data, Analytics and Statistics with link to Quality, Product and Process Engineering</li><li>Inspired by and searching actively for new technologies and methods.</li></ul>

Responsibilities: <ul><li>Primary responsibility is to develop applications which will be used by the operators/technicians in the manufacturing area globally by using .net platform.</li><li>Developing, testing, and maintaining software applications using .NET framework and related technologies.</li><li>Collaborating with cross-functional teams to gather and analyze requirements, and design and implement software solutions.</li><li>Maintain the existing applications and fix issues and explain the user about the timelines in resolving the issues.</li><li>Troubleshooting and debugging software issues, and providing timely resolutions.</li><li>Collaborating with peers to support/design the best solution possible.</li><li>Ensure error-free coding that adheres to best coding practices.</li><li>Implement best practices and methodologies for security, quality, and development approach.</li></ul> Requirements: <ul><li>Client is looking for a Full Stack Developers with 5 - 10years of experience in .net technology.</li><li>Strong written and verbal communication skills, with the ability to work effectively with US- based teams.</li><li>5+ years of recent hands-on experience developing ASP.NET Core and ASP.NET MVC applications.</li><li>Strong understanding of object-oriented programming (OOPs) concepts and software design principles.</li><li>Familiarity with the entire software development lifecycle (SDLC) and development methodologies.</li><li>Hands-on experience in database design, architecture, and integration.</li><li>Proficient with: WebAPI, Entity Framework, ADO.NET, SQL Server, HTML, CSS, JavaScript,jQuery, Ajax</li></ul> Preferred Qualifications: <ul><li>Knowledge in OSI Soft PI tools. - PIMS good to have</li><li>Basic SAP knowledge.</li><li>VB.net windows applications.</li><li>Blazor (server-side and/or WebAssembly) — experience building component-based UIs with Blazor</li><li>AngularJS — experience maintaining or migrating AngularJS single-page applications,VB.NET</li><li>Experience working with modern web technologies and frameworks; ability to evaluate and adopt appropriate tools for project needs.</li></ul>

Responsibilities: Warehouse &amp; Materials Management <ul><li>Oversee all warehouse activities including receiving, storage, handling, and internal material movement to ensure compliance with cGMP, DEA, and safety regulations.</li><li>Develop and maintain systems for inventory management, accuracy, and traceability, including raw materials, components, packaging, and finished goods.</li><li>Ensure timely and compliant movement of materials to support production schedules and product release timelines.</li><li>Collaborate with Quality and Compliance teams to maintain cGMP storage practices, support inspections, and ensure readiness.</li></ul> Planning &amp; Supply Coordination <ul><li>Lead the site’s production and materials planning processes to ensure timely availability of materials and resources to meet manufacturing demands.</li><li>Manage and optimize the site’s Master Production Schedule (MPS), material requirement planning (MRP), and capacity planning tools.</li><li>Coordinate with corporate Supply Chain and Procurement functions to align site planning with supplier performance and external manufacturing dependencies.</li></ul> Project Management &amp; Integration <ul><li>Serve as a site-level project manager for cross-functional initiatives including new product introductions (NPIs), facility readiness, equipment onboarding, and continuous improvement projects.</li><li>Develop project timelines, resource allocations, risk assessments, and stakeholder communication plans to ensure successful project execution.</li><li>Support greenfield and expansion activities by coordinating logistics, materials, and equipment staging activities.</li></ul> Systems &amp; Process Development <ul><li>Lead implementation and optimization of ERP and warehouse management systems to enable efficient and compliant operations.</li><li>Develop and implement SOPs, training programs, and KPIs across warehouse and planning functions.</li><li>Identify opportunities for process automation, waste reduction, and continuous improvement in site logistics operations.</li></ul> Requirements: Qualifications / Experience: <ul><li>Bachelor’s degree in Supply Chain, Engineering, Business, Operations Management, or related field.</li><li>7+ years of progressive experience in warehouse, planning, or project management roles within pharmaceutical or highly regulated industries.</li><li>Strong understanding of cGMPs, DEA requirements for controlled substances, and sterile manufacturing logistics.</li><li>Proven experience implementing ERP systems (SAP, Oracle, etc.) and managing warehouse or supply chain digital tools.</li><li>PMP certification or formal project management training strongly preferred.</li></ul> Skills/Competencies: <ul><li>Strong organizational, analytical, and problem-solving skills.</li><li>Effective leadership and team-building abilities across cross-functional stakeholders.</li><li>Proficiency in project management tools and planning systems.</li><li>Excellent verbal and written communication with the ability to influence at all levels.</li><li>High sense of ownership, attention to detail, and adaptability in a fast-paced, startup environment.</li><li>Commitment to compliance, quality, and patient-centered operations.</li></ul>

Responsibilities: <ul><li>Design, develop, and implement ETL processes using IBM InfoSphere DataStage to extract data from various source systems, transform it according to business rules, and load it into target data warehouses and data marts.&nbsp;&nbsp;</li><li>Develop and maintain DataStage jobs, sequences, and workflows, ensuring optimal performance and scalability.</li><li>Troubleshoot and resolve data integration issues, working closely with data analysts and other stakeholders.</li><li>Write and execute complex SQL queries to analyze data, profile data sources, and validate ETL processes.</li><li>Collaborate with business analysts and data architects to understand data requirements and translate them into technical specifications.&nbsp;&nbsp;</li><li>Participate in the full software development lifecycle, including requirements gathering, design, development, testing, deployment, and documentation.&nbsp;&nbsp;</li><li>Ensure adherence to data governance policies and standards.</li><li>Monitor ETL processes and proactively identify and address potential performance bottlenecks.</li><li>Contribute to the development and maintenance of technical documentation, including design specifications, mapping documents, and operational procedures.</li></ul> Requirements: <ul><li>Minimum of 3 to 5 years of hands-on experience in designing, developing, and implementing ETL solutions using IBM InfoSphere DataStage.</li><li>Strong understanding of ETL concepts, methodologies, and best practices.</li><li>Proficiency in writing complex SQL queries and working with relational databases, preferably Oracle.</li><li>Experience with data modeling concepts (e.g., dimensional modeling, star schema, snowflake schema).</li><li>Familiarity with Linux operating systems and basic Linux commands is a plus.</li><li>Exposure to OBIEE (Oracle Business Intelligence Enterprise Edition) or other business intelligence tools is a plus.</li><li>Excellent written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Excellent analytical skills and technical skills, with a strong attention to detail and problem-solving abilities.</li><li>Bachelors degree in Computer Science or equivalent in education and work experience.</li></ul>

Role Description: <ul><li>The Trade Finance Officer will be responsible for supporting the company’s trade finance operations to ensure timely and accurate execution of import and export transactions.</li><li>The role involves preparing and processing trade finance instruments, coordinating with banks and suppliers, and ensuring compliance with established policies and international trade regulations.</li><li>The role requires strong expertise in letters of credit (LCs), bank guarantees, documentary collections, and other trade finance instruments.</li></ul> Responsibilities Trade Finance Operations: <ul><li>Support the end-to-end processing of trade finance transactions, including Letters of Credit (LCs), guarantees, collections, and other trade products.</li><li>Prepare and review trade documentation to ensure accuracy, completeness, and compliance with UCP 600, Incoterms, and international trade regulations.</li><li>Liaise with banks, suppliers, and internal departments to facilitate the issuance, amendment, and settlement of LCs and guarantees.</li><li>Track and monitor trade finance transactions and facility utilization to ensure timely execution and effective liquidity management.</li></ul> Import Letter of Credit: <ul><li>Preparation &amp; submission of LC Application as per shared PFI, agreed trade terms, and LC draft</li><li>Carrying out Trade Finance Compliance and Due Diligence checks before issuance of LC</li><li>Liaise with banks and suppliers to process LC documentation, amendments, and confirmations as required.</li></ul> Export Letter of Credit: <ul><li>Issue Proforma Invoices (PFIs) to Oil Marketing Companies (OMCs) allocated under the PBPA bid or carrying vessel.</li><li>Share LC drafts and a list of confirming banks with OMCs to ensure the LC is workable and aligned with the applicable UCP version.</li><li>Verify the availability of confirming banks within approved limits before proceeding.</li></ul> Cash Flow &amp; Working Capital Management: <ul><li>Support the optimization of cash flow by accurately processing and tracking trade finance transactions in line with working capital objectives.</li><li>Monitor collections, supplier payments, and financing requirements related to trade operations to ensure timely execution.</li><li>Coordinate with the Treasury team to provide trade-related inputs for liquidity planning and forex management.</li></ul> Requirements: Qualifications &amp; Experience:Education Qualification <ul><li>Bachelor’s degree in Finance, Accounting, Business, or a related field.</li></ul> Professional Qualification <ul><li>Strong knowledge of trade finance instruments, UCP 600, Incoterms, and cross-border&nbsp;payments.</li><li>3–5 years of experience in trade finance, corporate banking, or treasury.</li><li>Experience in liaising with banks, financial institutions, and regulatory.</li><li>Hands-on experience with ERP systems (SAP, Oracle, or similar) and trade finance platforms.</li></ul>

Responsibilities: <ul><li>Oversee the design, development, and deployment of AI models and intelligent agents.</li><li>Ensure engineering best practices in model development, testing, and deployment.</li><li>Collaborate with IT and data teams to ensure scalable and secure integration of AI solutions.</li><li>Work closely with business and technical stakeholders to understand requirements and deliver impactful AI solutions.</li><li>Communicate effectively with global teams, bridging technical and business perspectives.</li><li>Support change management and adoption of AI tools across business units.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.</li><li>Lead the design and development of solutions using Agentic AI&nbsp;</li></ul> Requirements: Basic Qualifications:<ul><li>10+ years of experience in software engineering, data science, AI, or a related field.</li><li>2+ years of experience in leadership role managing technical teams.</li><li>Proficiency in software development and statistical analysis.</li><li>Experience with Large Language Models and their applications.</li><li>Strong communication skills and the ability to present technical results to business stakeholders.</li><li>Experience with solution architecting and design.</li><li>Hands-on experience with cloud platforms such as Azure and/or AWS. </li><li>Proficiency in programming languages such as Python, R, or similar.</li><li>Bachelor’s or master’s in computer science, Mathematics, Statistics, or a related field.</li></ul> Preferred Qualifications:<ul><li>Experience working in a global enterprise or matrixed organization.</li><li>Familiarity with cloud platforms (Azure, AWS, GCP) and MLOps tools.</li><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Experience in applications to sales, marketing, and market research&nbsp;</li></ul>

Responsibilities: <ul><li>Client is seeking a skilled Business Intelligence Developer to design, build, and maintain enterprise-scale data products and data sources using platforms like Tableau and Streamlit.</li><li>The ideal candidate will be a detail-oriented developer with strong technical skills who can translate business requirements into robust analytical solutions.</li><li>This role requires a mixture of business acumen and technical expertise, along with an ability to build strong partnerships and collaborate to solve problems.</li><li>Design, develop, and maintain interactive data products and reports in Tableau, Streamlit, and other BI tools.</li><li>Build and optimize data sources, ensuring data integrity and performance at enterprise scale</li><li>Collaborate with business stakeholders to gather requirements and translate them into technical specifications.</li><li>Develop scalable data product solutions that can accommodate growing user bases and data volumes.</li><li>Implement best practices for data product design, data modeling, and visualization techniques.</li><li>Monitor data product performance and user adoption, making improvements as needed.</li><li>Maintain documentation for data products, data sources, and development processes.</li><li>Troubleshoot and resolve technical issues with existing data products and data connections.</li><li>Support data governance initiatives by ensuring consistent data definitions and calculations across reports.</li><li>Participate in code reviews and maintain version control for BI development projects.</li><li>Stay current with BI tool updates and emerging visualization technologies.</li><li>Provide technical support to end users and assist with data product-related questions.</li><li>Contribute to the development of reusable components and templates for efficiency gains.</li></ul> Requirements: Qualifications <ul><li>3+ years in the data space as an analyst, engineer, or equivalent.</li><li>3+ years experience designing, implementing, operating, and extending enterprise dimensional models.</li><li>3+ years working with a large-scale data warehouse, preferably in a cloud environment.</li><li>3+ years of hands-on experience developing data products and reports in Tableau, including advanced calculations, parameters, and complex visualizations.</li><li>Experience with Streamlit or similar Python-based data product frameworks.</li><li>Experience with modern data stack technologies including cloud data warehouses (AWS/Snowflake) and ELT tools.</li><li>1+ years maintaining a project workstream to identify tasks, milestones, and deliverables.</li><li>Bachelors degree in Computer Science, Information Systems, Mathematics,</li></ul>

Role Description: <ul><li>As a Staff Engineer, you will play a pivotal role in shaping the future of Gen AI at our client by defining technical strategy, overseeing complex machine learning architectures, and ensuring seamless integration of Gen AI solutions into our platform and applications at scale.</li><li>You will mentor and guide a small engineering team while providing expertise in state-of-the-art AI/ML practices, ensuring a robust production pipeline and the professional management of models.&nbsp;</li></ul> Responsibilities: <ul><li>Help lead the technical strategy and execution for AI projects across the organization.</li><li>Designing, deploying, and managing the lifecycle of AI/ML models, including retraining and monitoring for continuous improvement within our solution.</li><li>Designing and driving Gen AI features on peta-byte scale datasets Driving innovation in NLP and other ML solutions, ensuring alignment with our client business goals. Architecting, developing and overseeing scalable, production-ready AI systems.</li><li>Providing technical mentorship to the AI/ML engineering team, fostering growth and collaboration.</li><li>Conducting in-depth research and staying abreast of advancements in Gen AI and deep learning technologies.</li><li>Collaborating with cross-functional teams, including Product, to evaluate business requirements and determine optimal AI solutions.</li><li>Reviewing code, offering best practices, and ensuring the delivery of high-quality solutions.&nbsp;</li><li>Representing our client technical excellence through publications, presentations, and participation in industry events.</li><li>Opportunity to work on cutting-edge AI projects at scale.</li></ul> Requirements: <ul><li>8+ years experience in managing large-scale datasets and distributed computing environments, with a preference for Google Cloud Platform expertise.</li><li>Java programming experience.</li><li>Experience with integration and deployment of AI/ML into production at scale within a SaaS solution.</li><li>Demonstrates independent thinking, capable of analyzing unique challenges, overcoming technical hurdles and delivering impactful AI solutions.</li><li>Hands-on experience with Generative AI techniques, including RAG pipelines, LLM fine-tuning, prompt engineering, and diffusion models.</li><li>Strong knowledge of generative AI frameworks and tools, such as Hugging Face, LangChain, or OpenAI APIs.</li><li>Experience in developing and scaling Generative AI solutions for NLP, vision, or multimodal tasks.</li><li>Advanced knowledge of modern AI frameworks, such as PyTorch, TensorFlow/Keras, Hugging Face Transformers, and JAX/Flax.</li><li>Expertise in Python, Docker, Kubernetes, and Helm.</li><li>Excellent communication skills, particularly in mentoring, knowledge sharing, and cross-team collaboration.</li><li>Willingness to be in office 3 days per week.</li></ul>

Role Description: <ul><li>Develop and own the data science roadmap that aligns with our client business goals.</li><li>Define success metrics and oversee the entire lifecycle of data initiatives from concept to production deployment.</li><li>Architect, develop, and deploy state-of-the-art machine learning models.</li><li>Champion best practices in model development, validation, and monitoring in production environments.</li><li>Partner with product, engineering, and business teams to translate business requirements into data-driven solutions.</li></ul> Responsibilities: <ul><li>Provide technical leadership and mentor the data science team.</li><li>Provide technical leadership and mentor the data science team.</li><li>Architect and provide production monitoring and support for our client ML services.</li><li>Stay ahead of industry trends by continuously evaluating emerging technologies and methodologies in data science and machine learning.</li><li>Represent our client technical excellence through publications, presentations, and participation in industry events.</li></ul> Requirements: <ul><li>10+ years of professional experience in data science with a proven track record in building and supporting production grade ML systems.</li><li>Must be highly proficient in Python with hands-on experience in machine learning frameworks (e.g., TensorFlow, PyTorch).</li><li>Experience working with large-scale datasets and distributed computing platforms like GCP.</li><li>Strong understanding of ML lifecycle and MLOps practices.</li><li>Experience with monitoring tools like Prometheus, Grafana and logging systems e.g. ELK stack.</li></ul>

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13 oracle Jobs found

Sr Manager - Finance and Accounting

Senior Business Intelligence Analyst

Senior Systems Analyst – DotNet Developer Full stack

Manager, Site Logistics & Project Integration

IBM Infosphere DataStage Developer

Trade Finance Officer

Lead AI Engineer

Business Intelligence Developer

Staff Engineer - AI/ML

Principal Applied Data Scientist

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13 oracle Jobs found

Sr Manager - Finance and Accounting

Senior Business Intelligence Analyst

Senior Systems Analyst – DotNet Developer Full stack

Manager, Site Logistics & Project Integration

IBM Infosphere DataStage Developer

Trade Finance Officer

Lead AI Engineer

Business Intelligence Developer

Staff Engineer - AI/ML

Principal Applied Data Scientist

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.