6 Visualization Platforms Jobs

Job Title: Senior Assistant Vice President - Digital Consulting Location: Noida, India Department: Digital Strategy & Transformation Reports To: Vice President - Digital Consulting Job Summary: We are seeking a dynamic and experienced Senior Assistant Vice President (Sr. AVP) to join our Digital Consulting team at EXL. The ideal candidate will bring over 10+years of cross-functional expertise in digital strategy, consulting, and transformation across BFSI and F&A domains. This role demands a strategic thinker with hands-on experience in delivering digital solutions, managing global consulting engagements, and driving enterprise-wide transformation initiatives. Key Responsibilities: Lead digital consulting engagements for Fortune 100 clients, focusing on transformation strategy, product development, and process optimization. Drive implementation of low-code/no-code platforms (e.g., Appian, Power Apps) and intelligent automation solutions (e.g., RPA, Gen AI, Microsoft Co-Pilot). Develop business cases, perform gap analysis, and lead requirement management and stakeholder engagement. Spearhead GTM strategies for emerging technologies including Generative AI and advanced analytics. Collaborate with cross-functional teams to define operating models, streamline reporting (e.g., Power BI dashboards), and deliver measurable business impact. Manage global delivery teams and ensure alignment with client expectations and transformation goals. Qualifications & Skills: B.Tech in Computer Science and MBA in Finance & Analytics. Proven track record in digital transformation, consulting, and program management. Certified in Generative AI Solution Architecture, RPA Program Management, Agile/Scrum. Strong expertise in F&A processes (O2C, R2R, FP&A), automation tools, and visualization platforms. Excellent communication, stakeholder management, and leadership skills. Why Join EXL Be part of a forward-thinking team that is shaping the future of digital consulting. At EXL, we value innovation, collaboration, and impact.

It&aposs fun to work in a company where people truly BELIEVE in what they are doing! We&aposre committed to bringing passion and customer focus to the business. Client Success Own end-to-end product management for RGM PPA solution, ensuring high-quality build and execution and measurable business outcomes for clients. Act as the primary point of contact for senior client stakeholders, ensuring alignment on PPA product roadmap, RGM strategies and success metrics. Revenue Growth Management Expertise Partner with CPG and Retail clients to define and implement best-in-class RGM strategies. Provide deep functional expertise in RGM areas such as pricing analytics, pack architecture, trade spend optimization, and promotional effectiveness. Functional Thought Leadership On RGM PPA Product Roadmap Influence the vision and roadmap by providing functional leadership and strategic insights from real-world client challenges. Collaborate closely with Product, Data Science, and Engineering teams to ensure RGM solutions stay ahead of industry needs. Understand the needs and pain points of our clients and customers and translate these insights into product features and improvements that drive value. Team Management & Process Excellence Lead and mentor a team of RGM-focused team to drive best practices and scale delivery operations. Establish and refine GTM processes, playbooks, and KPIs for RGM engagements. Drive continuous improvement initiatives to enhance efficiency, effectiveness, and scalability Must-Have Qualifications 10+ years of experience in RGM, or Consulting within the CPG industry. Strong expertise in Pricing, Trade Promotions, Pack Architecture, or Commercial Analytics. Experience leading client delivery for SaaS-based analytics or AI-driven solutions. Proven ability to engage with senior stakeholders (VP/C-level) and drive strategic discussions. Strong analytical and problem-solving skills with a data-driven mindset. Creative thinker, Strategic thinking, able to synthesize and structure, Analytical and problem-solving skills Ability to influence product development and contribute to the product vision based on client needs. Strong communication skills, able to translate complex product information into actionable instructions for the implementation team. Experience managing and mentoring teams in a high-growth environment. Preferred Qualifications Experience in AI-driven RGM solutions, or enterprise software implementation with good understanding of technology and engineering practices Good understanding of design led decision process and solution development along with value framing and change management Deep understanding and experience with Agile methodologies Background in management consulting with a focus on commercial strategy or pricing analytics. Strong familiarity with data analytics and associated tools and visualization platforms Degree in Business, Economics, Engineering. If you like wild growth and working with happy, enthusiastic over-achievers, you&aposll enjoy your career with us! Not the right fit Let us know you&aposre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

As the AI Ops, ML Ops, and LLM Ops Manager, your primary responsibility is to oversee the efficient and scalable operations of AI and machine learning models. You will be in charge of managing the entire model lifecycle, covering development, deployment, monitoring, and maintenance. It is crucial to ensure strict adherence to predefined Service Level Agreements (SLAs) for AI and ML operations. To streamline the integration and deployment of models, you will be required to develop and maintain CI/CD Ops pipelines. Additionally, implementing and managing model registries for version control and governance is essential. You will establish coding checklists and best practices while also developing and automating testing frameworks to maintain model quality and reliability. Designing and managing inference pipelines for both real-time and batch predictions will be under your purview. Innovation plays a key role in this role, as you will be expected to adopt emerging technologies such as GenAI, AI, and NLP. Accelerating product/service development through rapid prototyping and iterative methods will be necessary to drive innovation effectively. Furthermore, aligning analytics innovation efforts with business strategy, IT strategy, and legal/regulatory requirements is imperative. You will also be tasked with identifying and developing advanced analytics capabilities and ecosystem partnerships in alignment with the DnA strategy. Key Responsibilities: - Lead AI Ops, ML Ops, and LLM Ops to ensure efficient and scalable operation of AI and machine learning models. - Develop and manage the model lifecycle, including development, deployment, monitoring, and maintenance. - Ensure adherence to predefined SLAs for AI and ML operations. - Create and manage analytics product/services roadmaps from concept to launch. - Develop and maintain CI/CD Ops pipelines for seamless integration and deployment of models. - Implement and manage model registries for version control and governance. - Establish and enforce coding checklists and best practices. - Develop and automate testing frameworks to ensure model quality and reliability. - Design and manage inference pipelines for real-time and batch predictions. - Incubate and adopt emerging technologies (GenAI, AI, NLP) to accelerate product/service development through rapid prototyping and iterative methods. - Align analytics innovation efforts with business strategy, IT strategy, and legal/regulatory requirements. - Establish and update strategies, implementation plans, and value cases for emerging technologies. - Drive innovation using appropriate people, processes, partners, and tools. - Identify and develop advanced analytics capabilities and ecosystem partnerships in alignment with DnA strategy. - Oversee end-to-end delivery of analytics services and products across cross-functional business areas. - Serve as the point of escalation, review, and approval for key issues and decisions. - Manage resource and capacity planning in line with business priorities and strategies. - Foster continuous improvement within the team. - Decide on program timelines, governance, and deployment strategies. Key Performance Indicators: - Achieved targets in Enterprise business case contribution, KPIs, customer satisfaction, and innovation measures. - Delivery on agreed KPIs including business impact - Launch of innovative technology solutions across Novartis at scale. - Business impact and value generated from DDIT solutions. - Adoption and development of Agile Productization and DevOps practices. - Operations stability and effective risk management. - Feedback on customer experience. - Applications adherence to ISC requirements and are audit ready. - Business capability, vision & strategy clearly defined, communicated, and executed, well aligned to business strategy and Enterprise IT strategy, providing a competitive advantage to Novartis. - Role model with the highest standards of professional conduct in leading the business capability area in line with the new IT operating model. - Deployment of digital platforms and services at scale to deliver the digital strategy. Skills And Experience: - Demonstrated experience in Budget Management, Business Acumen, Performance Management, Planning, Project Management, Risk Management, Service Delivery Management, and stakeholder management. - Strong understanding of AI Ops, ML Ops, and LLM Ops. - Experience in developing and managing the model lifecycle, including deployment and maintenance. - Proficiency in managing operations with predefined SLAs. - Expertise in CI/CD Ops pipelines development. - Experience with model registry and management. - Knowledge of coding checklists and best practices. - Proficiency in developing and automating testing frameworks. - Experience in designing and managing inference pipelines. - Production experience with commercial and open-source ML platforms. - Strong knowledge of AWS, Databricks, and Snowflake service offerings. - Ability to collaborate with business teams to gather requirements, groom product backlogs, and drive delivery. - Agile delivery experience managing multiple concurrent delivery cycles. - Solid foundation in CRISP analytical life cycle management. - Strong leadership skills with the ability to build high-performing teams. - Excellent vendor management and IT governance skills. - Innovative and analytical mindset with a focus on continuous improvement. - Emerging Technology Monitoring, Consulting, Influencing & persuading, Unbossed Leadership, IT governance, Building High Performing Teams, Vendor Management, Innovative & Analytical Technologies. - Strong understanding of descriptive vs. prescriptive Analytical frameworks. - Strong knowledge of visualization platforms and project life cycle management, including Power BI, Qlik, and MicroStrategy. - Significant production experience addressing visualization platform and data pipeline performance constraints. - Strong analytical and problem-solving skills, effective communication, and the ability to influence and collaborate with cross-functional teams.,

It&aposs fun to work in a company where people truly BELIEVE in what they are doing! We&aposre committed to bringing passion and customer focus to the business. Client Success Own end-to-end product management for RGM PPA solution, ensuring high-quality build and execution and measurable business outcomes for clients. Act as the primary point of contact for senior client stakeholders, ensuring alignment on PPA product roadmap, RGM strategies and success metrics. Revenue Growth Management Expertise Partner with CPG and Retail clients to define and implement best-in-class RGM strategies. Provide deep functional expertise in RGM areas such as pricing analytics, pack architecture, trade spend optimization, and promotional effectiveness. Functional Thought Leadership On RGM PPA Product Roadmap Influence the vision and roadmap by providing functional leadership and strategic insights from real-world client challenges. Collaborate closely with Product, Data Science, and Engineering teams to ensure RGM solutions stay ahead of industry needs. Understand the needs and pain points of our clients and customers and translate these insights into product features and improvements that drive value. Team Management & Process Excellence Lead and mentor a team of RGM-focused team to drive best practices and scale delivery operations. Establish and refine GTM processes, playbooks, and KPIs for RGM engagements. Drive continuous improvement initiatives to enhance efficiency, effectiveness, and scalability Must-Have Qualifications 10+ years of experience in RGM, or Consulting within the CPG industry. Strong expertise in Pricing, Trade Promotions, Pack Architecture, or Commercial Analytics. Experience leading client delivery for SaaS-based analytics or AI-driven solutions. Proven ability to engage with senior stakeholders (VP/C-level) and drive strategic discussions. Strong analytical and problem-solving skills with a data-driven mindset. Creative thinker, Strategic thinking, able to synthesize and structure, Analytical and problem-solving skills Ability to influence product development and contribute to the product vision based on client needs. Strong communication skills, able to translate complex product information into actionable instructions for the implementation team. Experience managing and mentoring teams in a high-growth environment. Preferred Qualifications Experience in AI-driven RGM solutions, or enterprise software implementation with good understanding of technology and engineering practices Good understanding of design led decision process and solution development along with value framing and change management Deep understanding and experience with Agile methodologies Background in management consulting with a focus on commercial strategy or pricing analytics. Strong familiarity with data analytics and associated tools and visualization platforms Degree in Business, Economics, Engineering. If you like wild growth and working with happy, enthusiastic over-achievers, you&aposll enjoy your career with us! Not the right fit Let us know you&aposre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

As an IT Project Manager in the Pharma & Life Sciences sector, particularly focused on Health Research & Benchmarking, you will play a crucial role in bridging the gap between technology and health outcomes research. Your responsibilities will include leading cross-functional teams, managing projects related to Health Technology Assessment (HTA), Health Economics and Outcomes Research (HEOR), Real-World Evidence (RWE), and comparative effectiveness analysis. Familiarity with tools such as Flatiron, IQVIA, and various Real-World Data (RWD) sources will be essential for success in this role. Your key responsibilities will involve leading end-to-end IT project management in health research and life sciences initiatives, collaborating with diverse stakeholders such as researchers, data scientists, compliance teams, and IT developers. You will be responsible for ensuring regulatory compliance and data governance, particularly in handling real-world health data. Furthermore, you will coordinate with external vendors and data providers to monitor project milestones, budgets, risks, and deliverables using industry-standard project management methodologies. To excel in this role, you should possess a Bachelor's or Masters degree in Life Sciences, Computer Science, Public Health, or a related field, along with 10-15 years of experience in IT project management within the pharmaceutical or healthcare research sector. Proven experience in managing projects involving HEOR, RWE, or HTA frameworks is crucial, as well as familiarity with real-world data platforms such as Flatiron Health, IQVIA, Optum, or similar sources. Strong understanding of clinical data standards, regulatory environments, and health informatics will be necessary, along with excellent communication, stakeholder management, and analytical skills. Preferred qualifications include a Project Management certification (e.g., PMP, PRINCE2) and experience working with epidemiologists, biostatisticians, or public health researchers. Knowledge of data integration or visualization platforms and an understanding of AI/ML applications in health research would be advantageous in this role. Join EY and be part of a team that is dedicated to building a better working world by creating new value for clients, people, society, and the planet. With a focus on data, AI, and advanced technology, EY teams help clients shape the future with confidence and provide solutions for the most critical issues of today and tomorrow. Working across a full spectrum of services in assurance, consulting, tax, strategy, and transactions, EY teams leverage sector insights, a globally connected network, and diverse ecosystem partners to deliver services in more than 150 countries and territories.,

We are looking for a BI consultant to support in the generation of insightful data-driven conclusions for our company's operations. As a BI consultant, your primary responsibility will be to collect both internal and external data and utilize it to develop presentations covering various aspects like costs, revenue, performance, market capitalization, growth, and competition. To excel in this role, you should possess a strong analytical background, a keen interest in data processing, and the ability to present complex ideas effectively. An exceptional BI consultant will demonstrate proficiency in utilizing figures, datasets, and reports. Key Responsibilities: - Locate, review, and validate data related to the company and market. - Identify trends and potential areas for BI analysis. - Educate stakeholders on the significance of business intelligence. - Collaborate with data analysts to compile reports for decision-makers. - Create informative presentations to support business managers and executives. - Manage BI projects throughout their lifecycle. - Engage with internal and external stakeholders to gain valuable insights for decision-making. - Utilize data analytics tools and visualization platforms effectively. - Offer feedback and guidance to colleagues based on your research findings. - Ensure the security and confidentiality of all data, information, and documents used in BI operations. Requirements: - Age limit: 18 to 30 years - Language preference: Tamil - Open to Freshers and College students - Job Types: Full-time, Fresher Benefits: - Health insurance - Provident Fund Schedule: - Day shift - Rotational shift Additional Perks: - Performance bonus - Yearly bonus Work Location: In-person (Note: Full-time, Part-time, and Work from Home options are available),