assistant manager - hr transformation Jobs in Hyderabad India

assistant manager - hr transformation

director - master data management (mdm) domain architect Jobs in Hyderabad India

director - master data management (mdm) domain architect

senior manager - data solutions Jobs in Hyderabad India

senior manager - data solutions

senior manager - ecommerce Jobs in Hyderabad India

senior manager - ecommerce

senior manager data solutions

Novartis India

<div>
 
 Summary
 
 
 
 20 years of untapped data waiting to be explored. The digital revolution is changing everything, especially in pharmaceuticals, and Novartis has embraced a bold strategy to drive a company-wide digital transformation. With this mission, Data Operations group within BSI is working with the Novartis Business units and industry leading technology partners, to drive the execution of Novartis&rsquo; data strategy, turning its rich data resources into real strategic assets to drive actionable insights across the organization. This ambition is one of key pillars in the broader digital transformation happening at Novartis to be a &lsquo;medicines and data science company.
 
 
 We are looking for a skilled and enthusiastic Data Engineer with expertise in any of the ETL tools, Databricks, Snowflake SQL, and PySpark to join our innovative team.
 
 
 As a Data Engineer, you will be responsible for designing, implementing, and optimizing scalable data pipelines, ensuring data quality, and building robust data infrastructure.
 
 
 You will collaborate closely with data scientists, domain experts, and other stakeholders to ensure the efficient and reliable flow of data across the organization.
 
 
 
 About The Role
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 ETL Development: Design, implement, and maintain scalable ETL pipelines to extract, transform, and load data from various sources into data warehouses or data lakes.
 </li>
 <li>
 Databricks Utilization: Leverage Databricks to develop, optimize, and scale data engineering workflows.
 </li>
 <li>
 Data Modelling: Design and implement robust data models to support analytics and reporting needs.
 </li>
 <li>
 SQL Proficiency: Write, optimize, and maintain complex SQL queries for data extraction and transformation tasks.
 </li>
 <li>
 PySpark Development: Utilize PySpark for big data processing tasks, developing scalable and efficient solutions.
 </li>
 <li>
 Data Quality and Validation: Implement data quality checks and validation processes to ensure data accuracy and consistency.
 </li>
 <li>
 Data Integration: Integrate data from multiple sources, ensuring data consistency and reliability.
 </li>
 <li>
 Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
 </li>
 <li>
 Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and related processes.
 </li>
 <li>
 Performance Optimization: Optimize data processing performance by fine-tuning ETL pipelines and data storage solutions.
 </li>
 <li>
 Security and Compliance: Ensure compliance with data governance policies and security protocols to protect sensitive and confidential information.
 </li>
 <li>
 Continuous Improvement: Stay current with industry trends and emerging technologies, continuously improving data engineering practices.
 
 
 </li>
 </ul>
 
 Education (minimum/desirable)
 
 
 
 Bachelor's or master&rsquo;s degree in computer science, Engineering, Information Systems, or a related field.
 
 
 
 Experience / Skills
 
 
 
 <ul>
 <li>
 8+ years&rsquo; experience in a Global company as a data steward, engineer, modeler or data scientist, with a strong focus on ETL tools, SQL, and PySpark.
 </li>
 <li>
 Business understanding of pharmaceutical industry and data standards. Domain experience in at least one of the following areas &ndash; a) Pharma R&amp;D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales. Experience in working in Pharma / Life Science industry strongly preferred
 </li>
 <li>
 Strong proficiency in SQL and experience with database management systems (e.g., PostgreSQL, MySQL, Oracle).
 </li>
 <li>
 Hands-on experience with Databricks for developing and optimizing data workloads.
 </li>
 <li>
 Proficiency in PySpark for big data processing tasks.
 </li>
 <li>
 Knowledge of data warehousing solutions (e.g. Snowflake).
 </li>
 <li>
 Experience of working with large codebase / repos using Git / Bitbucket
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 <li>
 Excellent communication and collaboration skills with senior stakeholders
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services (Databricks).
 </li>
 <li>
 Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
 </li>
 <li>
 Knowledge of real-time data processing and streaming technologies.
 </li>
 <li>
 Proficiency in data visualization tools (e.g., Tableau, Power BI).
 </li>
 <li>
 Experience with DevOps practices and tools for CI/CD pipelines.
 
 
 </li>
 </ul>
 
 Why consider Novartis?
 
 
 
 799 million. That&rsquo;s how many lives our products touched in 2019. And while we&rsquo;re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people&rsquo;s lives?
 
 
 We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you&rsquo;re given opportunities to explore the power of digital and data. Where you&rsquo;re empowered to risk failure by taking smart risks, and where you&rsquo;re surrounded by people who share your determination to tackle the world&rsquo;s toughest medical challenges.
 
 
 Imagine what you could do at Novartis!
 
 
 
 Commitment To Diversity &amp; Inclusion
 
 
 
 Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
 
 
 Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
 
 
 
 Why Novartis:
 
 Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
 
 
 
 Join our Novartis Network:
 
 Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
 
 
 
 Benefits and Rewards:
 
 Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
</div>

Senior Manager - Data Solutions

Godrej Jersey

<div>
 
 
 Designation - Finance Manager
 
 
 
 
 
 
 -Looking for good experience in FP&amp;A role.
 
 
 
 
 
 Prepare monthly, closing reports and other reports in an accurate and timely manner in and summarize company's financial position vs. budget. This includes reviewing and explaining major variances.
 
 
 
 
 - Co-ordinate with business divisions finance teams for timely monthly book closure and ensure compliance with accounting policies and regulatory requirements
 
 
 
 
 - Analyze Sales, costs, pricing, contributions, profit and the company's actual performance compared to the business plans, previous periods and prepare the reconciliation bridges
 
 
 
 
 - Prepare organization's Long Range Plan and Annual Operating Plan in a structured, timely manner in collaboration with all other functional departments
 
 
 
 
 - Establishes and maintains strong relationships with senior executives to work on business requirements and seek full range of potential revenue generating solutions.
 
 
 
 
 - Participate in strategic data analysis, research, and modelling for senior company leadership. Support project analysis, validation of plans, Competitor financial analysis and ad-hoc requests
 
 
 -Prepare presentations for various meetings viz: Board meeting, Quarterly management meeting, Monthly meeting and other adhoc meetings
 
 
 - Map competitor landscape on a regular basis and present the comparison, findings to management
 
 
 
 
 - Conduct reviews and evaluations for cost-reduction opportunities. High level of attention to detail, analytical aptitude, organize work and set priorities to meet deadlines. Strong commercial &amp; business acumen needs to be exhibited
 
 
 
 
 - Manage &amp; ensure accurate, timely filing of GST returns, Income tax returns, Income Tax Audit, GST Audit. Monitor legislative and regulatory tax law developments, Implement &amp; communicate the effects of these developments to management and the tax team
 
 
 
 
 - Attend all tax authorities' assessment queries, issues, and notices and ensure timely closure of all assessments.
 
 
 
 
 - Directly supervises the Finance direct reports by assigning specific goals and objectives for each direct report, evaluating performance against those goals and objectives, and holding direct reports accountable for their performance.
 
 
 
 
 
 
 Qualification
 
 
 <ul>
 <li>
 Qualified CA preferred with 5 years of experience in manufacturing industry experience in leading FP&amp;A role
 </li>
 </ul>
</div>

Finance Manager

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI and DATA -Gen AI - Senior

Roche

<div>
 At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
 
 
 The Position
 
 
 
 Senior Procurement Operations Manager - Cross Categories
 
 
 
 
 Roche India - Roche Services &amp; Solutions
 
 
 
 
 Hyderabad
 
 
 
 A healthier future. It&rsquo;s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love.
 
 
 That&rsquo;s what makes us Roche.
 
 
 
 What is the Cross Categories Procurement Operations Team?
 
 
 
 The Cross Categories Procurement Operations team is enabling the Delivery Procurement capability by focusing on continuous improvement and excellence of core procurement processes and solutions that underlie the execution of procurement activities like category management, sourcing, supplier management, contracting, and content management. This role also performs/ guides/ supports various Global Procurement/ Site-specific operations management activities per the assigned scope
 
 
 The capability owns the procurement process and system for the Delivery sites, provides subject matter expertise on various areas like upstream, downstream, direct procurement, content, and e-sourcing, and has oversight on the deployment and adoption of the various processes and systems by the Delivery capability to advance toward the chapter vision. The capability also provides general Delivery execution support as needed
 
 
 This position is part of the Procurement Operations Cross Categories team reporting into the Cross-Category Operations Management Team Lead
 
 
 
 Are you wondering what is in it for you?
 
 
 
 As a
 
 Senior Procurement Operations Manager,
 
 you will work in a dynamic global environment where you will meet the challenge to bring structured thinking, facilitation, execution, and focus to procurement practices, processes, and solutions including automation, digital improvements. Using your specialized knowledge and in-depth expertise, you will provide oversight, coordination, support, and continuous improvements for our day-to-day procurement operations, including tools and methods, in line with the Delivery chapter&rsquo;s visions.
 
 
 You will work closely with procurement, IT, Roche services &amp; solutions (incl. business process management, project management, regional solution centers), and other relevant colleagues either as a peer, coach, project/workstream lead, or subject matter expert, to align on needs, opportunity identification, and priority to develop, enhance, or deploy enabling services and solutions and respective governance to our internal customers
 
 
 
 Your Opportunity:
 
 
 
 
 Your key responsibilities include:
 
 
 
 Your successful performance and contribution depend on the full embodiment and demonstration of core mindsets and behaviors, including an entrepreneurial spirit, enterprise thinking, inclusive collaboration, and desire for continuous learning that underpin our culture and ways of working
 
 
 As a
 
 Senior Procurement Operations Manager,
 
 you will play a variety of roles according to your experience, knowledge, and general requirements, such as:
 
 
 <ul>
 <li>
 Acting as domain knowledge and subject matter specialist, providing input, advice, and know-how on functional operations, automation, efficiency, and procurement processes
 </li>
 <li>
 Excellence practitioner identifying and facilitating continuous improvement opportunities, and overseeing Procurement delivery day-to-day operations
 </li>
 <li>
 Excellence advocate accelerating the advancement of harmonized upstream practices, automation utilisation in the downstream, E2E procurement processes and solutions for the Delivery Chapter, and continuous improvement of our procurement operations
 </li>
 <li>
 Coordinate the identification, consolidation, validation, and submission of site-specific process and systems maintenance and enhancement requests for ongoing improvement. Conduct/ support User Acceptance Testing as needed
 </li>
 <li>
 Lead and/or support the implementation of, and compliance to regional process and policy changes, including local process documentation updates, localization, and training
 </li>
 <li>
 Manage/ Oversee / Support Operational Procurement Audit compliance i.e. vendor add/change audit activities, banking information verification audit, and other operational audit support
 </li>
 <li>
 Provide input into systems settings, including relevant local data, organizational setups (i.e. purchasing group, routing logic), and other information needed to operationalize systems
 </li>
 <li>
 Assisting with complex purchasing and with guiding Shared Service Center (SSC) escalations as appropriate
 </li>
 <li>
 Conceptualizing and prototyping ideas by creating basic tools in partnership with stakeholders and procurement teams
 </li>
 <li>
 You will work within the broader global team and GP networks and squads to determine the other various roles needed to deliver project and foundational work
 
 
 </li>
 </ul>
 
 Who you are:
 
 
 
 
 You bring the following skills, mindsets, and behaviors:
 
 
 
 <ul>
 <li>
 You hold a university degree, with a business or information technology degree preferable
 </li>
 <li>
 You also have 9+ years within procurement operational procurement, technology management, or process management, ideally in a matrix organization, and demonstrated deep conceptual knowledge and experience of procurement practices, processes and solution management and oversight
 
 
 </li>
 </ul>
 
 In addition, you have:
 
 
 
 <ul>
 <li>
 The ability to explain general procurement operations area information to others and/or collect/translate moderately complex stakeholder requirements
 </li>
 <li>
 Ability to understand process/system variation at each local site to ensure local requirements are represented while maintaining global ideal process perspective
 </li>
 <li>
 Experience with Procurement requisition and procure to pay systems and processes
 </li>
 <li>
 Experience in leading or supporting value improvement programs utilizing lean or agile project management methodologies
 </li>
 <li>
 Depth in Lean Six Sigma, Agile methodologies is preferred
 </li>
 <li>
 Experience with enterprise systems and procure to pay and eSourcing tools
 </li>
 <li>
 Business level fluency in English (German may be beneficial for certain positions)
 
 
 </li>
 </ul>
 
 Mindset and Behaviors
 
 
 
 <ul>
 <li>
 You strive to act as an enterprise thinker and leverage knowledge and expertise to create solutions for business customers by proactively fostering collaboration, including across the procurement network
 </li>
 <li>
 You are action-oriented and can make decisions and influence others to do the same; you repurpose work and ideas in favor of starting from scratch
 </li>
 <li>
 You demonstrate curiosity, active listening, and a willingness to experiment and test new ideas when appropriate, focusing on continuous learning and improvement
 </li>
 <li>
 You work with colleagues across procurement, business, and the broader Roche organization to broaden knowledge and expertise, better understand customer needs, and connect the dots
 </li>
 <li>
 You are open-minded and inclusive, generously sharing ideas and knowledge while being receptive to ideas and feedback from others
 
 
 </li>
 </ul>
 Who we are
 
 
 A healthier future drives us to innovate. Together, more than 100&rsquo;000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
 
 
 Let&rsquo;s build a healthier future, together.
 
 
 
 Roche is an Equal Opportunity Employer.
 
</div>

Senior Procurement Operations Manager

MetLife

<div>
 
 Requirements
 
 
 
 
 Description and Requirements
 
 
 
 
 GOSC- GG10- Data Scientist (IC)
 
 
 
 
 Position Title:
 
 
 
 Senior Data Scientist (IC)
 
 
 
 Function, Responsibility Level:
 
 
 
 
 Reports to (Responsibility Level):
 
 
 
 
 GG13 Director Data science or
 
 
 
 
 GG12 Lead Data Scientist
 
 
 
 
 Supervises:
 
 
 
 
 Location:
 
 
 
 Hyderabad/Noida
 
 
 
 Global Grade: 10
 
 
 
 
 Cost Center (85 series):
 
 
 
 ####
 
 
 
 Complexity:
 
 
 
 
 PID/s Load Mapping:
 
 
 
 
 Position Summary
 
 
 
 Continuing with the tradition of innovation, MetLife, as part of its Data and Analytics function, has established a Data and Analytics (DnA) center in India. The setup of DnA center is a key multi-year strategic initiative focused on scaling business solutions using AI, data science, data governance, data engineering, business intelligence, agile project management capabilities, enabling more cost-effective analytics operating model and increasing AI maturity across the MetLife global community.
 
 
 
 Role Value Proposition:
 
 
 
 We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLife&rsquo;s enterprise functions and lines of businesses across markets.
 
 
 This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Hands on development and implementation of AI/ generative AI models &amp; algorithms to solve complex problems and drive innovation across organization.
 </li>
 <li>
 Collaborate with Lead Data Scientist/AI product owner to translate given business problem into analytical use-cases with defined outcomes.
 </li>
 <li>
 Perform data exploration, machine learning models development &amp; active collaboration with cross functional teams
 </li>
 <li>
 Contribute to the implementation of AI solutions to deliver business impact with focus on value, success criteria alignment, scalability, and operationalization.
 </li>
 <li>
 Drive best practices throughout development process, efficient coding and publish learnings/feedback for continuous learning.
 </li>
 <li>
 Drive innovation within teams, by enhancing existing solutions and designing new ones.
 
 
 
 </li>
 </ul>
 
 Knowledge, Skills, And Abilities
 
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s/master&rsquo;s degree in an information technology/computer science or relevant domain
 
 
 
 Experience
 
 
 
 
 Technology Skills
 
 
 
 <ul>
 <li>
 3-5 years of hands-on experience in Analytics, data science or similar function
 </li>
 <li>
 Strong hands-on proficiency in any of Data Science technologies i.e., Python, PySpark,
 
 
 
 </li>
 </ul>
 , R &amp; have experience in machine learning libraries &amp; frameworks such as
 
 
 TensorFlow, PyTorch, or Keras.
 
 
 <ul>
 <li>
 Strong hands-on expertise in traditional as well as modern statistical &amp; ML techniques like regression, support vector machines, Regularization, Boosting, Random Forests &amp; other ensemble methods.
 </li>
 <li>
 Good Understanding of NLP models using: Nltk, spacy, Word 2 Vec , BERT etc.
 </li>
 <li>
 Experience in technologies like Azure, AWS, and advanced analytics concepts like
 
 
 
 </li>
 </ul>
 Simulation, Deep Learning etc. are considered as a plus.
 
 
 <ul>
 <li>
 Ability to meet deadlines for product deliverables in a timely, proactive, and
 
 
 
 </li>
 </ul>
 entrepreneurial manner.
 
 
 
 General Management skills:
 
 
 
 <ul>
 <li>
 Analytical and problem-solving skills to ideate.
 </li>
 <li>
 Excellent written and verbal communication skills; ability to discuss technical issues with peers, business stakeholders and senior management.
 </li>
 <li>
 Strong conceptual and creative problem-solving skills; ability to learn new and complex concepts quickly.
 
 
 
 </li>
 </ul>
 
 Working Relationships
 
 
 
 
 Internal Contacts
 
 
 (And purpose of relationship):
 
 
 
 MetLife GTO Engineering, Digital Office and Global Data and analytics
 
 
 Business
 
 
 GOSC Leadership
 
 
 
 External Contacts
 
 
 
 (And purpose of relationship) &ndash; If Applicable
 
 
 Vendors
 
 
 Consultants
 
 
 
 About MetLife
 
 
 
 Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World&rsquo;s 25 Best Workplaces&trade;, MetLife, through its subsidiaries and affiliates, is one of the world&rsquo;s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
 
 
 Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we&rsquo;re inspired to transform the next century in financial services. At MetLife, it&rsquo;s #AllTogetherPossible . Join us!
</div>

Data Scientist - I

ValueMomentum

<div>
 
 
 Product Manager / Business Analyst &ndash; U.S. Banking Domain
 
 
 
 
 Experience: 10&ndash;15 Years
 
 
 
 
 Work Location: Hyderabad / Coimbatore
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking an experienced Product Manager / Business Analyst with deep expertise in the U.S. Banking and Financial Services domain to join our technology team. The ideal candidate will bring a strong understanding of core banking systems such as BANCS, Flexcube, Fiserv, or FIS, combined with hands-on exposure to data, analytics, and BI-driven product development within an IT / software organization.
 
 
 
 
 This role will focus on driving digital banking product initiatives, defining functional and data requirements, and partnering with engineering and data teams to deliver scalable technology solutions that enable data-driven decision-making for banking clients.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Act as a bridge between business and technology teams, translating banking business requirements into detailed functional and technical specifications.
 </li>
 <li>
 Lead product roadmap discussions, prioritization, and end-to-end delivery for digital and analytics-driven banking solutions.
 </li>
 <li>
 Work closely with engineering, architecture, and data teams to define integration points with core banking platforms (BANCS, Flexcube, Fiserv, FIS).
 </li>
 <li>
 Collaborate with data and analytics teams to define KPIs, dashboards, and performance insights for business growth.
 </li>
 <li>
 Perform detailed business and data analysis, process documentation, and workflow design.
 </li>
 <li>
 Create user stories, acceptance criteria, and wireframes to ensure clarity and alignment during solution design.
 </li>
 <li>
 Contribute to data migration, analytics platform enhancement, and automation initiatives related to banking operations.
 </li>
 <li>
 Support UAT and post-production validation, ensuring product quality and functional accuracy.
 </li>
 <li>
 Track product adoption and drive continuous improvement based on business feedback and outcomes.
 </li>
 </ul>
 
 
 Required Skills &amp; Experience:
 
 
 <ul>
 <li>
 10&ndash;15 years of experience as a Product Manager / Business Analyst in an IT / software organization serving Banking / Financial Services clients.
 </li>
 <li>
 Strong knowledge of U.S. Banking operations, compliance, and digital transformation trends.
 </li>
 <li>
 Hands-on experience with core banking platforms &ndash; BANCS, Flexcube, Fiserv, or FIS.
 </li>
 <li>
 Experience in Business Intelligence, Data Analytics, and Reporting tools (Power BI, Tableau, Qlik, or equivalent).
 </li>
 <li>
 Strong documentation and communication skills with the ability to work effectively with cross-functional global teams.
 </li>
 <li>
 Proven ability to manage multiple stakeholders, prioritize deliverables, and ensure timely execution.
 </li>
 </ul>
 
 
 Good to Have:
 
 
 <ul>
 <li>
 Experience with cloud-based data ecosystems (Azure, AWS, or GCP).
 </li>
 <li>
 Exposure to AI/ML-based banking analytics or predictive modeling.
 </li>
 <li>
 Experience in Agile delivery environments.
 </li>
 <li>
 Certifications such as CBAP, CSPO, PMP, or equivalent.
 </li>
 </ul>
 
 
</div>

Product Manager / Business Analyst – U.S. Banking Domain

McDonald's

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Financial Operations Manager
 
 
 
 The Financial Operations Manager plays a critical role in driving fiscal transparency, operational efficiency, and strategic resource planning across the Enterprise Data &amp; Analytics (EDAA) Platforms function, ensure alignment with business goals. This role is responsible for overseeing financial processes including budgeting, forecasting, spend tracking, and vendor financial management. Partnering closely with technology, procurement, and finance teams, the Financial Operations Manager ensures sound financial governance and supports leadership in making data-informed investment decisions to scale data platform capabilities.
 
 
 
 
 
 
 Who we&rsquo;re looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 
 
 Financial Planning &amp; Analysis:
 
 
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 Lead and manage financial operations for EDAA Platforms, including budgeting, forecasting, and monthly/quarterly variance analysis.
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 Forecast future cloud costs based on usage trends and business growth.
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 Provide cost-benefit analysis and financial insights to support business case development and investment prioritization.
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 Support annual planning cycles and resource allocation across platform initiatives.
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 </ul>
 
 
 
 
 
 Spend Management &amp; Optimization:
 
 
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 Monitor and track technology and vendor spend to ensure alignment with strategic plans and financial targets.
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 Drive financial reporting and dashboards to provide visibility into spend, run costs, and platform ROI.
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 Ensure proper resource tagging for accurate cost contribution.
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 </ul>
 
 
 
 
 
 Vendor &amp; Contract Management:
 
 
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 Collaborate with finance, procurement, and business leads to manage contracts, SOWs, invoicing, and vendor payments.
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 Act as a liaison between finance, delivery teams, and vendors to ensure alignment and accountability.
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 </ul>
 
 
 
 
 
 Process Improvement &amp; Governance:
 
 
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 Establish and refine financial processes and controls to ensure compliance and operational efficiency.
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 Contribute to continuous improvement of financial operations tools, templates, and best practices.
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 </ul>
 
 
 
 
 
 Executive Support &amp; Communication:
 
 
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 Prepare presentations and materials for senior leadership to support strategic reviews and governance forums.
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 </ul>
 
 
 
 
 
 Skill:
 
 
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 <li>
 7 years of experience in financial operations, business finance, or FP&amp;A, ideally within a technology or data environment
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 Strong understanding of budgeting, forecasting, and financial governance practices
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 Experience managing technology vendor contracts, invoicing, and procurement processes
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 Proficiency with Finops tools (e.g., Finout, Datadog etc.)
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 Proficiency with financial modelling, reporting tools, and Excel/Google Sheets; experience with ERP or PPM systems is a plus
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 Excellent communication and stakeholder management skills with a consultative mindset
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 Bachelor's degree in finance, Accounting, Business Administration, or a related field; MBA or related certification preferred
 </li>
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 Ability to thrive in a dynamic, matrixed environment and drive cross-functional collaboration
 </li>
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 Strong attention to detail, analytical rigor, and ability to simplify complex financial data for decision-making
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 Good understanding of public cloud providers such as AWS, GCP, and Azure, including their respective billing models and cost structures.
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 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
 
 
 
 
 
 Additional Information:
 
 
 
 McDonald&rsquo;s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald&rsquo;s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
 
 
 
 
 
 McDonald&rsquo;s Capability Center India Private Limited (&ldquo;McDonald&rsquo;s in India&rdquo;) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald&rsquo;s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald&rsquo;s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws.
 
 
 Nothing in this job posting or description should be construed as an offer or guarantee of employment.
 
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Manager, Financial Planning [T500-21199]

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