Head Business Developement

Group Finance Controller & Head of FP&A

Senior Business Intelligence Analyst

Senior - Data Engineer

Finance Business Partner

Product Pricing Analyst

Senior Machine Learning Engineer (Production & MLOps Focus)

 IIAD / SAD / LAD Artificial Intelligence Engineer

Lead AI Engineer

Account Executive - Architecture

Role Description: <ul><li>We are looking for an energetic, self-driven and focused candidate for cross-regional BD role who would support the journey of business expansion, expand clientele base, and build new opportunities for business.</li><li>The candidate will have the advantage of working on different product range i.e. Rx (both innovator drugs and generics), OTC, medical diagnostics and devices hence exposure to diversified portfolio across multiple therapy areas.</li><li>The USP lies in flexibility of partnership models under different therapeutic categories, and believes in working on win-win model. Hence, the candidate will shall benefit by handling multiple business models, and ample areas of opportunities to contribute.</li><li>The candidate can also be involved in some of the strategic projects of the organization with time and once established into day-to-day operations.</li></ul> Responsibilities: <ul><li>Building business proposals, market evaluation, sales forecasting, pricing strategies, go-to market plan, P&amp;L assessment and new product launches</li><li>Role will work on both side of BD&amp;L : Inward licencing and also out licencing deals.</li><li>Conduct comprehensive market research for purposes of new business expansion areas, new products, internal-external portfolio assessment.</li><li>Support end-to-end development and delivery of new business pitches and presentations.</li><li>Close collaboration and communication with internal teams and external stakeholders.</li><li>Assessing timelines, logistics, schedules, cost and other estimations associated with a project.</li></ul> Requirements: <ul><li>B.Pharma / B.Tech with MBA with 6+ years of relevant experience in marketing, sales and business development from Pharma/Medical services (age group mid to late 30s)</li><li>Proven track record of generating new business leads, work on new business leads, project management.</li><li>Proficiency in MS Office / CRM software / Power point presentation and data analysis.</li><li>Proficiency in English</li><li>Therapeutic &amp; Market knowledge.</li><li>Communication and negotiation skills</li><li>Ability to build rapport.</li><li>Time management and planning skills</li></ul>

Responsibilities: Strategic Leadership <ul><li>Drive business planning and formulation of financial targets aligned to growth objectives.</li><li>Provide financial and commercial advice to the Board and senior leadership team.</li><li>Monitor effectiveness of financial controls and implement scalable systems and SOPs.</li><li>Manage cash flow and debt within covenants.</li><li>Oversee statutory reporting and compliance across global jurisdictions.</li></ul> FP&amp;A &amp; Storytelling <ul><li>Own budgeting, forecasting, variance analysis, scenario modeling.</li><li>Develop KPI frameworks and real-time dashboards.</li><li>Prepare Board packs with insightful commentary and trend analysis.</li><li>Partner with business heads to translate numbers into actionable insights.</li></ul> Financial Operations &amp; Compliance <ul><li>Oversee group consolidation and multi-entity accounting (IFRS/Ind AS/local GAAP).</li><li>Ensure tax planning and compliance (direct, indirect, transfer pricing, GST, VAT).</li><li>Maintain robust internal controls and manage treasury, liquidity, and FX risk.</li></ul> Technology &amp; Data <ul><li>Implement Zoho suite as primary finance utility, supplemented by MS Office, internal ERP and CRM solutions.&nbsp;</li><li>Familiarity with AI models and agents for finance process optimization.</li><li>Ability to leverage BI tools for analytics and visualization.</li></ul> People Leadership <ul><li>Build and mentor a high-performing finance team.</li><li>Ensure succession planning and capability development.</li><li>Drive engagement and performance culture.</li></ul> Requirements: <ul><li>Professional qualification: CA strongly preferred; ACCA/CIMA/CPA/ MBA (Finance) acceptable.</li><li>10+ years of experience with exposure to global accounting and tax environments.</li><li>Experience in businesses with topline of INR 100 crore or more.</li><li>Proven ability to scale finance operations and integrate technology.</li><li>Strong leadership and stakeholder management skills.</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>Uses a set of tasks and techniques to work as a liaison among and elicit the needs of stakeholders to define and validate solutions that meet business needs, goals, or objectives.</li><li>Analyzes and synthesize information elicited from stakeholders, defines, and manages the plan to deliver requirements and documents, and manages requirements throughout the project life cycle.</li><li>Develop ETL (Extract, transform, load) process to help extract and manipulate data from multiple sources.</li><li>Reformulating or automating the existing data workflows to maximize their functioning and greater scalability.</li><li>Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, and produce actionable business insights out of it.</li><li>Need to conduct complex data analysis and improve data quality and efficiency.</li><li>Develop models to create reporting infrastructure/dashboards for business process management and data mining.</li><li>Design Summary, Detail, and Dashboard reports and management summaries which present data findings in a professional, concise, and readable format appropriate for content and audience.</li><li>Solve ad-hoc requirements of Management related to data for critical decision making</li><li>Troubleshoot data inaccuracies, identify root causes, and take corrective action</li><li>Effectively communicate and translate quantity findings (Storytelling with data) inclusive of key insights and actionable recommendations to optimize performance</li><li>Optimize reports to ensure a responsive solution when visualizing vast amounts of data.</li></ul> Requirements: <ul><li>5+ years of data engineering experience in ETL design, development, optimization &amp; testing using, Alteryx, Data Bricks, Cloud AWS Services, Python, SQL scripts,</li><li>5+ years of hands-on experience in business intelligence and in configuring, designing, and building visualizations and dashboards using Tableau and other BI tools (Tableau Prep, Tableau Dashboard, Tableau Server, Business Objects, Power BI, etc.)</li><li>Excellent problem-solving, communication, and organizational skills.&nbsp;</li><li>Experience in performance tuning and optimization of ETL processes to enhance efficiency and minimize data processing time</li><li>Detail-oriented with excellent time management and organizational skills to meet a critical deadline</li><li>Self-motivated, ability to prioritize work and multi-task across many assignments in a fast-paced work environment</li><li>Collaborated with cross-functional teams to gather requirements, design data models, and implement scalable data architectures to support business analytics and reporting needs</li><li>Proven ability to work independently and with a team.</li><li>Ability to interpret technical or dashboard structure</li><li>Experience in business domains – supply chain, pricing, sales &amp; marketing, sales, finances</li></ul>

Responsibilities: <ul><li>The Finance Business Partner, Operations will be providing timely, relevant and accurate information and insightful analysis to facilitate decision-making of senior management.</li><li>Developing the capability to drive swift data extraction and visualization bringing visibility and transparency of key business metrics.</li><li>Focused on finding meaningful insights to support continued and sustainable profitable growth of the our client business.</li><li>Drive improvement in the conversion cost and site fixed overhead vs budget and historical periods.</li><li>Also, bringing actionable insights, identity focus areas and run simulations for site management to optimize the cost level, in line with forecasted business activity.</li><li>Need monthly tracking and action monitoring, working collaboratively with site teams across different functions, and create visibility with global manufacturing team on the improvement actions.</li><li>Drive digital transformation journey of finance function and be instrumental in increasing utilization of BI tools, especially Power BI.</li><li>To include developing the dashboards and power query models required to achieve efficiency in data extraction and visualization.</li><li>Understand diverse internal and external data source and its architecture.</li><li>Able to integrate various data source for seamless automation of business analysis resulting in optimization of core financial workflows, enhancing efficiencies.</li><li>Able to perform analysis using large complex dataset, enhance the reports to improve performance tracking against targets and trend identification.</li><li>Effective contribution in annual budgeting and monthly forecasting process, such as developing templates for end-to-end budget planning and forecasting process.</li><li>Build and foster strong cross-functional relationships across business constituencies and stakeholders specially group support functions like Supply Chain, Manufacturing Ops and Procurement. Help the company understand how the pieces fit together to drive performance and strengthen the team’s partnership and influencing skills in pursuit of growth.</li><li>Price, Mix and Volume Analysis for Margin Improvements</li><li>Proactive participation in various business improvement/ad hoc projects.</li><li>Manages the overall Financial Reporting and Analysis activities in the production and delivery of all standard reporting (including template and chart updates), ad hoc reporting, presentation materials; and non-pricing / profitability (costing) analysis for the business, in accordance with defined standards.</li></ul> Requirements: <ul><li>At least 8-10 years’ work experience in Finance with at least 6 years’ experience in FP&amp;A</li><li>Experience working in manufacturing environment is a must</li><li>Strong business acumen.</li><li>Strong financial, technical, and quantitative analytical skills</li><li>In-depth knowledge of accounting principles, practices and regulatory issues and their application to a wide variety of areas</li><li>Ability to take ownership of a task or process, and see it through from inception to completion</li></ul> Preferred Skills <ul><li>Proven track record of developing and implementing value-added financial analysis</li><li>Self-awareness and ability to handle tight deadlines and manage complex business challenges</li><li>Demonstrated experience in analyzing and synthesizing complex financial data into meaningful executive summary statements</li><li>Excellent verbal and written skills, analytical thinker / problem solver, interpersonal skills, attention to details</li><li>Advance Excel skill, MS office and data management, Power BI skill is added advantage</li></ul> Key Relationships with Internal and External Stakeholders <ul><li>Operational Leadership</li><li>Site Finance Controllers</li><li>Group Finance Team</li><li>Site GMs and Operation team</li></ul> Additional Notes <ul><li>Sound financial knowledge with Chartered Accountant background</li></ul>

Responsibilities: <ul><li>Analyze industry pricing standards and competitors to set optimal pricing strategies.</li><li>Harvest and consolidate data from various sources to support pricing decision-making.</li><li>Maintain product pricing routinely in internal systems.</li><li>Manage pricing requests both online and offline via tools.</li><li>Identify low-margin business segments and collaborate with Product Managers to resolve issues.</li><li>Monitor pricing agreement performance and ensure adherence to expected margins.</li><li>Apply advanced analytics to identify pricing issues and opportunities.</li><li>Develop dashboards and reports that support strategic pricing decisions.</li><li>Explore innovative pricing techniques, such as AI-driven models, competitor benchmarking, and cross-functional data integration.</li><li>Communicate and align pricing strategies across departments: Sales, PM, Customer Care, and Finance.</li><li>Simplify and clearly communicate pricing decisions and methodologies to stakeholders.</li><li>Incorporate market insights and business rules into pricing logic.</li><li>Recommend pricing actions to capture market opportunities and improve profitability.</li></ul> Requirements: Experience: <ul><li>Minimum 5- 6 years of experience in pricing analysis, business analysis, commercial strategy, or a related field.</li></ul> Education: <ul><li>Bachelor’s degree or higher in Economics, Finance, Business, Statistics, or a related field.</li></ul> Skills: <ul><li>Strong analytical, strategic thinking, and problem-solving skills.</li><li>Proficiency in Excel and data visualization tools (e.g., Power BI).</li><li>Experience working across business units and aligning stakeholder objectives.</li><li>Ability to present complex data in a clear, simplified format.</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: Agentic AI Development:&nbsp;&nbsp; <ul><li>Design, build, and deploy agentic AI systems using frameworks such as LangChain, Lang Graph, and related libraries.&nbsp;&nbsp;</li><li>Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.&nbsp;</li></ul> RAG Pipelines:&nbsp; <ul><li>Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.&nbsp;</li></ul> LLM Engineering:&nbsp; <ul><li>Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.&nbsp;</li><li>Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.&nbsp;</li></ul> Enterprise AI Platform:&nbsp; <ul><li>Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.&nbsp;</li><li>Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.&nbsp;</li></ul> MLOps &amp; Observability:&nbsp; <ul><li>Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.&nbsp;</li><li>Applied AI Prototyping:&nbsp;</li></ul> Rapidly prototype, experiment, and iterate to improve AI agent capabilities.&nbsp; Collaboration &amp; Research:&nbsp; <ul><li>Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.&nbsp;</li><li>Collaborate effectively with other engineers, researchers, and data scientists.&nbsp;</li><li>Contribute to the documentation and standardization of technical code and practices.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.&nbsp;</li><li>5+ years overall experience in software development, data science, or machine learning.&nbsp;</li><li>1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.&nbsp;</li><li>1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.&nbsp;</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>You will be responsible for driving companys growth across the Webex Customer Experience portfolio, with a focus on capturing significant market share in CCaaS, On-Premises Contact Centre, and CPaaS segments.</li><li>Your mission will be to implement high-impact strategies that accelerate adoption and revenue in these rapidly evolving markets.</li><li>The Customer Engagement space is one of the most dynamic and high-growth areas within company.</li><li>The proliferation of smartphones, digital messaging platforms, and the rise of Agentic AI have fundamentally reshaped customer expectations, demanding faster, smarter, and more personalised engagement from businesses.</li><li>As a Customer Engagement Expert, your deep domain expertise and thought leadership will be instrumental in enabling companys broader sales teams.</li><li>You will play a key role in building customer trust and driving adoption of companys AI-powered Contact Centre solutions, including CCaaS, CPaaS, and On-Premise offerings.</li></ul> In this role, you will work across the following teams to help solve customers’ most complex business problems. <ul><li>Global Contact Centre Sales Acceleration team and leadership</li><li>Collaboration with Product Sales Specialists and Solution Architects</li><li>Account Management Teams</li><li>Channel Partners and third-party Contact Centre Solution Partners</li><li>Product Management across companys Global Contact Centre Business Unit</li></ul> Requirements: <ul><li>Proven expertise in AI, Contact Centre, CCaaS, and CPaaS technologies.</li><li>A strong track record in strategic solution selling within both channel-led and direct go-to-market models.</li><li>The ability to position and sell to business decision-makers, backed by a well-established network of senior executive relationships.</li><li>You should possess a comprehensive understanding of Customer Experience technologies and the architectural evolution required for customer success.</li><li>You’ll be expected to engage with executive stakeholders and collaborate with companys technical teams to shape technology roadmaps that align with broader account strategies.</li><li>By applying your business acumen and industry insight, you will align companys portfolio with customer challenges and strategic priorities, ultimately driving revenue growth and market share expansion</li><li>You have demonstrated experience/capability in selling and consulting to Customer Experience executives.</li><li>You will maintain an active, hands-on approach with the team, partners, and customers.</li><li>You love what you do and are passionate about technology, enabling frictionless customer experiences and journeys.</li></ul> You have core experiences in the following areas: <ul><li>Technology Leadership: Communicate a clear technology vision and strategy with a compelling value proposition specifically as it relates to Cloud &amp; On Premise Contact Centre and Experience Management</li><li>Extensive sales/consulting leadership experience managing solution and application sales</li><li>Deep understanding of CCaaS, CPaaS, On-premise Contact Centers, and SaaS-based technologies and architectures, including adjacent technologies like Workforce, Quality Management, and AI.</li><li>You are expected to have customer relationships and understand the India market.</li></ul>

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39 saas models Jobs found

Head Business Developement

Group Finance Controller & Head of FP&A

Senior Business Intelligence Analyst

Senior - Data Engineer

Finance Business Partner

Product Pricing Analyst

Senior Machine Learning Engineer (Production & MLOps Focus)

IIAD / SAD / LAD Artificial Intelligence Engineer

Lead AI Engineer

Account Executive - Architecture

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39 saas models Jobs found

Head Business Developement

Group Finance Controller & Head of FP&A

Senior Business Intelligence Analyst

Senior - Data Engineer

Finance Business Partner

Product Pricing Analyst

Senior Machine Learning Engineer (Production & MLOps Focus)

IIAD / SAD / LAD Artificial Intelligence Engineer

Lead AI Engineer

Account Executive - Architecture

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