data scientist

data architect

domain architect - data science Jobs in Noida

domain architect - data science

senior data & applied scientist Jobs in Noida

senior data & applied scientist

domain architect data science

Nokia

<div>
 
 Job Description
 
 
 
 As a Senior Data Scientist focusing on Autonomous Networks at Nokia, you will be a key player on a dynamic team dedicated to revolutionizing telecom services through AI and machine learning. You will work closely with cross-functional teams, including engineers, product managers, and executive stakeholders, to design and implement cutting-edge data-driven solutions tailored for Communication Service Providers. You will engage directly with customers to understand their needs and drive the deployment of scalable AI/ML use cases that enhance network efficiency and performance.
 
 
 
 How You Will Contribute And What You Will Learn
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML solutions for Autonomous Networks (AN).
 </li>
 <li>
 Build and manage cognitive data products for large-scale telecom AI/ML deployments.
 </li>
 <li>
 Research and implement advanced ML techniques to enhance existing systems.
 </li>
 <li>
 Collaborate with CSP customers to create scalable, data-driven solutions.
 </li>
 <li>
 Manage the complete data lifecycle, from ingestion to monitoring and retraining.
 </li>
 <li>
 Serve as a senior subject matter expert for data science and ML in AN, contributing to business development and technology evaluation.
 
 
 </li>
 </ul>
 
 Key Skills And Experience
 
 
 
 You have:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Statistics, Data Science, Mathematics, or a related field.
 </li>
 <li>
 15+ years total experience, including 10+ years in telecom and 5+ years in AI/ML &amp; cloud technologies.
 </li>
 <li>
 Knowledge of telecom network data (OSS/BSS, CDRs, performance, fault, CX data).
 </li>
 <li>
 Expertise in Python, SQL, PySpark, TensorFlow/PyTorch, and Scikit-learn.
 </li>
 <li>
 Experience with Vertex AI, Red Hat OpenShift AI, and Kubernetes.
 
 
 </li>
 </ul>
 It would be nice if you also had:
 
 
 <ul>
 <li>
 Familiarity with network automation, service assurance, and intent-based networking.
 </li>
 <li>
 Pre-sales experience like RFPs, solution demos, customer workshops.
 </li>
 <li>
 Knowledge of Data Mesh, Data Fabric, and MLOps frameworks.
 </li>
 <li>
 Experience with Snowflake, Databricks, Kafka, Flink, Airflow, and visualization tools like Tableau or Power BI.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 
 Come create the technology that helps the world act together
 
 
 
 Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people&rsquo;s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
 
 
 We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
 
 
 
 What we offer
 
 
 
 Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
 
 
 
 Nokia is committed to inclusion and is an equal opportunity employer
 
 
 
 Nokia has received the following recognitions for its commitment to inclusion &amp; equality:
 
 
 <ul>
 <li>
 One of the World&rsquo;s Most Ethical Companies by Ethisphere
 </li>
 <li>
 Gender-Equality Index by Bloomberg
 </li>
 <li>
 Workplace Pride Global Benchmark
 
 
 </li>
 </ul>
 At Nokia, we act inclusively and respect the uniqueness of people. Nokia&rsquo;s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
 
 
 We are committed to a culture of inclusion built upon our core value of respect.
 
 
 Join us and be part of a company where you will feel included and empowered to succeed.
 
 
 
 About The Team
 
 
 
 As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.
</div>

Domain Architect - Data Science

GEDU Services

<div>
 
 Position Overview
 
 
 
 As a Data Architect, you are responsible for designing and managing scalable, secure, and high-performance data architectures that support GEDU and customer needs. This role ensures that the GEDU&rsquo;s data assets are structured and managed in a way that enables the business to generate insights, make data-driven decisions, and maintain data integrity across the GEDU and Customers. The Data Architect will work closely with business leaders, data engineers, data scientists, and IT teams to align the data architecture with the GEDU&rsquo;s strategic goals.
 
 
 
 Key Responsibilities
 
 
 
 
 Data Architecture Design:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain the enterprise data architecture, including data models, database schemas, and data flow diagrams.
 </li>
 <li>
 Develop a data strategy and roadmap that aligns with GEDU business objectives and ensures the scalability of data systems.
 </li>
 <li>
 Architect both transactional (OLTP) and analytical (OLAP) databases, ensuring optimal performance and data consistency.
 
 
 </li>
 </ul>
 
 Data Integration &amp; Management
 
 
 
 <ul>
 <li>
 Oversee the integration of disparate data sources into a unified data platform, leveraging ETL/ELT processes and data integration tools.
 </li>
 <li>
 Design and implement data warehousing solutions, data lakes, and/or data marts that enable efficient storage and retrieval of large datasets.
 </li>
 <li>
 Ensure proper data governance, including the definition of data ownership, security, and privacy controls in accordance with compliance standards (GDPR, HIPAA, etc.).
 
 
 </li>
 </ul>
 
 Collaboration With Stakeholders
 
 
 
 <ul>
 <li>
 Work closely with business stakeholders, including analysts, developers, and executives, to understand data requirements and ensure that the architecture supports analytics and reporting needs.
 </li>
 <li>
 Collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing pipelines.
 
 
 </li>
 </ul>
 
 Technology Leadership
 
 
 
 <ul>
 <li>
 Guide the selection of data technologies, including databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure is a must), and analytics tools.
 </li>
 <li>
 Stay updated on emerging data management technologies, trends, and best practices, and assess their potential application within the organization.
 
 
 </li>
 </ul>
 
 Data Quality &amp; Security
 
 
 
 <ul>
 <li>
 Define data quality standards and implement processes to ensure the accuracy, completeness, and consistency of data across all systems.
 </li>
 <li>
 Establish protocols for data security, encryption, and backup/recovery to protect data assets and ensure business continuity.
 
 
 </li>
 </ul>
 
 Mentorship &amp; Leadership
 
 
 
 <ul>
 <li>
 Lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management.
 </li>
 <li>
 Provide strategic guidance on data-related projects and initiatives, ensuring that all efforts are aligned with the enterprise data strategy.
 
 
 </li>
 </ul>
 
 Extensive Data Architecture Expertise
 
 
 
 <ul>
 <li>
 Good experience in data architecture, data modeling, and database management.
 </li>
 <li>
 Proficiency in designing and implementing relational (SQL) and non-relational (NoSQL) database solutions.
 </li>
 <li>
 Strong experience with data integration tools (Azure Tools are a must + any other third party tools), ETL/ELT processes, and data pipelines.
 
 
 </li>
 </ul>
 
 Advanced Knowledge Of Data Platforms
 
 
 
 <ul>
 <li>
 Expertise in Azure cloud data platform is a must. Other platforms such as AWS (Redshift, S3), Azure (Data Lake, Synapse), and/or Google Cloud Platform (BigQuery, Dataproc) is a bonus.
 </li>
 <li>
 Experience with big data technologies (Hadoop, Spark) and distributed systems for large-scale data processing.
 </li>
 <li>
 Hands-on experience with data warehousing solutions and BI tools (e.g., Power BI, Tableau, Looker).
 
 
 </li>
 </ul>
 
 Data Governance &amp; Compliance
 
 
 
 <ul>
 <li>
 Strong understanding of data governance principles, data lineage, and data stewardship.
 </li>
 <li>
 Knowledge of industry standards and compliance requirements (e.g., GDPR, HIPAA, SOX) and the ability to architect solutions that meet these standards.
 
 
 </li>
 </ul>
 
 Technical Leadership
 
 
 
 <ul>
 <li>
 Proven ability to lead data-driven projects, manage stakeholders, and drive data strategies across the enterprise.
 </li>
 <li>
 Strong programming skills in languages such as Python, SQL, R, or Scala.
 
 
 </li>
 </ul>
 
 Pre-Sales Responsibilities
 
 
 
 <ul>
 <li>
 Stakeholder Engagement: Work with product stakeholders to analyze functional and non-functional requirements, ensuring alignment with business objectives.
 </li>
 <li>
 Solution Development: Develop end-to-end solutions involving multiple products, ensuring security and performance benchmarks are established, achieved, and maintained.
 </li>
 <li>
 Proof of Concepts (POCs): Develop POCs to demonstrate the feasibility and benefits of proposed solutions.
 </li>
 <li>
 Client Communication: Communicate system requirements and solution architecture to clients and stakeholders, providing technical assistance and guidance throughout the pre-sales process.
 </li>
 <li>
 Technical Presentations: Prepare and deliver technical presentations to prospective clients, demonstrating how proposed solutions meet their needs and requirements.
 
 
 </li>
 </ul>
 
 Additional Responsibilities
 
 
 
 <ul>
 <li>
 Stakeholder Collaboration: Engage with stakeholders to understand their requirements and translate them into effective technical solutions.
 </li>
 <li>
 Technology Leadership: Provide technical leadership and guidance to development teams, ensuring the use of best practices and innovative solutions.
 </li>
 <li>
 Integration Management: Oversee the integration of solutions with existing systems and third-party applications, ensuring seamless interoperability and data flow.
 </li>
 <li>
 Performance Optimization: Ensure solutions are optimized for performance, scalability, and security, addressing any technical challenges that arise.
 </li>
 <li>
 Quality Assurance: Establish and enforce quality assurance standards, conducting regular reviews and testing to ensure robustness and reliability.
 </li>
 <li>
 Documentation: Maintain comprehensive documentation of the architecture, design decisions, and technical specifications.
 </li>
 <li>
 Mentoring: Mentor fellow developers and team leads, fostering a collaborative and growth-oriented environment.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Education: Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, or a related field.
 </li>
 <li>
 Experience: Seasoned experience in data architecture, with a focus on developing scalable and high-performance solutions.
 </li>
 <li>
 Technical Expertise: Proficient in architectural frameworks, cloud computing, database management, and web technologies.
 </li>
 <li>
 Analytical Thinking: Strong problem-solving skills, with the ability to analyze complex requirements and design scalable solutions.
 </li>
 <li>
 Leadership Skills: Demonstrated ability to lead and mentor technical teams, with excellent project management skills.
 </li>
 <li>
 Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Certification: Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are mandatory.
 </li>
 </ul>
</div>

Data Architect

PwC India

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Not Applicable
 
 
 
 
 Specialism
 
 
 Data, Analytics &amp; AI
 
 
 
 
 Management Level
 
 
 Senior Associate
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
 Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
 
 
 
 
 Why PWC
 
 
 
 At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for&nbsp;our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for&nbsp;each other. Learn more about us.
 
 
 At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
 
 
 Responsibilities:
 
 
 
 3+ years of experiences, expertise in Python, SQL, AI/ML, have good understanding data and analytics concepts, preferably with some experience in
 
 healthcare/pharma/diagnostics
 
 domain. Location - Mumb
 
 .
 
 
 Mandatory skill sets:
 
 
 Data Scientist
 
 
 Preferred skill sets:
 
 
 Data Scientist
 
 
 Years of experience required:
 
 
 4-8
 
 
 Education qualification:
 
 
 Btech/MBA/MC
 
 
 
 
 
 Education
 
 
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology
 
 
 Degrees/Field of Study preferred:
 
 
 
 
 
 Certifications
 
 
 
 
 (if blank, certifications not specified)
 
 
 
 
 
 
 Required Skills
 
 
 Data Science
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 No
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

IN_Senior Associate_Data Scientist _D&A_Advisory_Noida

<div>
 Job Description: Product Owner / Product Manager (AI Solutions)Location: Delhi NCRLevel: ManagerAbout EXL ServiceEXL Service is a global leader in analytics, digital operations, and AI-driven business transformation. We are accelerating our AI-first strategy with solutions like MiAI Call Simulator, AI Trainer, Upskill.AI, and Transition AI Toolkit that drive measurable business impact across Insurance, Healthcare, Banking, and Retail industries.We are seeking Manager-level Product Owners / Product Managers with strong foundations in AI tools and enterprise SaaS to drive product innovation, adoption, and client success.Key ResponsibilitiesProduct Ownership &amp; StrategyOwn end-to-end product lifecycle: vision, roadmap, backlog, and release planning.Partner with business stakeholders to translate enterprise needs into AI-enabled product capabilities.Define product OKRs and success metrics aligned with EXL&rsquo;s strategic initiatives.AI-Enabled Product DeliveryTranslate functional requirements into user stories/epics with AI-centric features (e.g., GenAI, Agentic AI, Process Mining).Ensure seamless integration with ITSM, CRM, and enterprise systems (ServiceNow, Salesforce, Jira, etc.).Work with engineering, design, and data science teams to deliver AI-first solutions with measurable ROI.Stakeholder ManagementAct as the primary liaison between business operations, AI engineering teams, and client leadership.Drive adoption through demos, workshops, and continuous feedback loops with end-users.Collaborate with sales, solutioning, and consulting teams to embed AI into client delivery models.Governance &amp; ComplianceEnsure products adhere to InfoSec, Data Privacy, and Compliance frameworks (e.g., PCI-DSS, HIPAA, GDPR).Establish governance models for AI deployment (e.g., human-in-the-loop validation, data bias checks, auditability).Required Skills &amp; ExperienceCore Product Management6&ndash;10 years of experience in Product Management / Product Owner roles, with at least 2&ndash;3 years in AI/ML, automation, or digital transformation domains.Proven success in enterprise product delivery (preferably SaaS/AI platforms).Strong background in backlog management, agile ceremonies, and release planning.AI &amp; Digital ExpertiseHands-on knowledge of AI/ML tools &amp; platforms (Azure OpenAI, LangChain, UiPath, PowerBI, ServiceNow, etc.).Exposure to GenAI/LLM applications, AI training simulations, or automation solutions.Understanding of data pipelines, analytics workflows, and model governance.Business &amp; Domain UnderstandingExperience in one or more industries: Insurance, Healthcare, Banking, or Retail operations.Ability to translate business requirements into AI-powered solutions.Strong understanding of KPIs, SLAs, and compliance requirements.Leadership &amp; Soft SkillsStrong communication, stakeholder management, and client-facing skills.Ability to lead cross-functional squads (engineering, AI scientists, designers, SMEs).Entrepreneurial mindset with passion for scaling AI-enabled products.Preferred / Good-to-HaveCertifications: CSPO, POPM, SAFe PO/PM, or AI Product Management.Experience in Process Mining, Task Mining, or workflow automation.Exposure to cloud-native AI infrastructure (Azure, AWS, GCP).Prior experience in consulting or Big 4 environments.
</div>

Manager

Axtria - Ingenious Insights

<div>
 
 
 Role : Manager / Sr Manager - MDM
 
 
 
 
 Experience : 7-12 years
 
 
 
 
 Job Location : Gurgaon/Noida/Bangalore/Hyderabad
 
 
 
 
 
 
 
 Your Responsibilities includes, but not limited to:
 
 
 
 
 
 <ul>
 <li>
 Participate in overall architecture, Capacity planning, development, and implementation of Master Data Management solutions (MDM). Using MDM technologies and tools across an enterprise to enable the management and integration of master data.
 </li>
 <li>
 Understand the technical landscape current as well as desired future state Assess the current state architecture &amp; understand current business processes for managing Master Data Management solutions.
 </li>
 <li>
 Assess the functional and non-functional requirements of desired future state MDM solution Prepare the to-be architecture including data ingestion, data quality rules, data model, match/merge, workflows, UI, batch integration and real-time services.
 </li>
 <li>
 Extensive hands-on experience in installation and configuration of core Informatica MDM Hub components such as Hub console, Hub Store, Hub Server, Cleanse/Match Server and Cleanse Adaptor.
 </li>
 <li>
 Ability to deliver full lifecycle MDM projects for clients including Data modeling, Metadata management, design and configuration of matching and merging rules, design and configuration of standardizing, cleansing and deduplication rules.
 </li>
 <li>
 Create Design Document and data models addressing business needs for the client MDM environment - Contribute to creating reusable assets and accelerators for MDM platforms.
 </li>
 <li>
 Will also be involved in integration/transfer of data across multiple systems, streamlining data processes and providing access to MDM data across the enterprise.
 </li>
 <li>
 Make technology decisions related to the Client MDM environment &amp; Interpret requirements and architect MDM solutions.
 </li>
 <li>
 Provide subject matter expertise on data architecture and data integration implementations across various downstream system.
 </li>
 <li>
 Coordinate with Project Managers and participate in project planning and recurring meetings.
 </li>
 <li>
 Collaborate with other team members to review prototypes and develop iterative revisions.
 </li>
 </ul>
 
 
 
 
 
 Must have Skills
 
 :
 
 
 
 
 <ul>
 <li>
 5-12 years of experience &amp; should have hands on experience of working in MDM Projects and hands on experience in one or more MDM tools like Informatica or Reltio and has expertise in defining matching/ merging &amp; survivor-ship rules.
 </li>
 <li>
 Should have strong commercial knowledge of key business processes &amp; compliance requirements within Pharma Industry across multiple master data domains like Physician &amp; Product
 </li>
 <li>
 Hands on experience in industry data quality tools like Informatica IDQ, IBM Data Quality.
 </li>
 <li>
 Must be proficient reading and understanding data models and experience working with data and databases.
 </li>
 <li>
 Strong technical experience in the areas of Master Data Management, Meta data management, Data Quality, Data Governance, Data Integration (ETL) and Data Security
 </li>
 <li>
 Experience with (all stages of MDM SDLC) planning, designing, building, deploying and maintaining scalable, highly available, mission critical enterprise-wide applications for large enterprises
 </li>
 <li>
 Should have experience in integrating MDM with Data Warehouses and Data Lakes
 </li>
 <li>
 Excellent query writing skills with Working knowledge of Oracle, SQL server, and other major databases
 </li>
 <li>
 Good knowledge of SOA/Real-time integration , Pub-Sub Model and Data Integration with Various CRM systems like Veeva, Siebel.
 </li>
 <li>
 Expertise in engaging with business users to understand the business requirements and articulate the value proposition.
 </li>
 <li>
 Should have experience working with 3rd Party Data Providers like IQVIA, SHS, Veeva etc
 </li>
 <li>
 Solid experience in configuring 3rd Party Address standardization tools Like or Tools Similar to Address Doctor, Loqate
 </li>
 <li>
 Provide subject matter expertise on data architecture and data integration implementations across various downstream systems
 </li>
 <li>
 Possesses excellent communication skills, both written and verbal, innovative presentation skills
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 
 BE/B.Tech, MCA, M.Sc., M. Tech, MBA with 60%+
 
 </li>
 </ul>
 
 
 
 
 
 Why Axtria: -
 
 
 
 
 Axtria (www.Axtria.com)
 
 is truly a New-Age Software Product Unicorn, a first of its kind in providing the cloud software and data analytics to the Life Sciences industry globally. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.
 
 
 
 
 
 Since our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms -
 
 Axtria
 
 DataMAX&trade;,
 
 Axtria
 
 InsightsMAX&trade;,
 
 Axtria
 
 SALESIQ&trade;,
 
 Axtria
 
 CUSTOMERIQ&trade; and Axtria MarketingIQ- enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning and manage end-to-end commercial operations. With customers in over 20 countries,
 
 Axtria
 
 is one of the biggest global commercial solutions providers in the Life Sciences industry. We continue to win industry recognition for growth and are featured in some of the most aspirational lists - INC 5000, Deloitte FAST 500, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards.
 
 
 
 
 <ul>
 <li>
 
 Axtria
 
 is looking for exceptional talent to join our rapidly growing global team
 </li>
 <li>
 People are our biggest perk! Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry
 </li>
 <li>
 Our data analytics and software platforms support data science, commercial operations, and cloud information management. We enable commercial excellence through our cloud-based sales planning and operations platform
 </li>
 <li>
 We are leaders in managing data using the latest cloud information management and big data technologies
 </li>
 <li>
 
 Axtria
 
 Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every associate is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry
 </li>
 <li>
 3500+ employees worldwide &ndash; growing rapidly &amp; strengthening our product engineering team. We would almost double our India headcount in the coming year
 </li>
 </ul>
 
 
</div>

Manager - MDM

Dailoqa

<div>
 Role Overview :
 
 
 We are seeking a
 
 Functional Consultant
 
 with a strong interest in the
 
 Wealth Management domain
 
 who can work at the intersection of
 
 client engagement and project leadership
 
 . This role is ideal for a
 
 self-starter
 
 who wants to
 
 learn and apply agentic AI concepts
 
 to transform how wealth managers, banks, and fintechs serve their clients.
 
 
 
 The role offers a unique opportunity to contribute to
 
 high-profile projects
 
 with global BFSI clients (UK, Europe, India), support
 
 CXO-level business development
 
 , and build
 
 deep
 
 
 
 
 
 expertise in AI-powered wealth journeys
 
 (such as onboarding, file-checking, advice reporting, wealth nudges).
 
 
 
 
 
 Requirements
 
 
 Key Responsibilities
 
 
 
 Project Leadership s Delivery
 
 
 
 
 &middot; Lead
 
 functional work-streams
 
 in wealth management projects
 
 
 &middot; Translate
 
 client business requirements
 
 into structured
 
 data models, rules, and workflows
 
 aligned to regulatory frameworks (e.g., MiFID II, FCA Consumer Duty, SEBI)
 
 
 &middot; Collaborate with
 
 AI architects and tech teams
 
 to design and deliver
 
 agentic AI prototypes and solutions
 
 
 
 &middot; Support
 
 deliveries
 
 of agentic AI solutions including functional documentation, validation of the solutions and demos to clients
 
 Business Development
 
 &middot; Work with leadership to develop
 
 proposals
 
 for BFSI clients, focused on wealth management
 
 
 &middot; Conduct
 
 market research
 
 on wealth management trends, competitors, and regulatory changes
 
 
 &middot; Build and deliver
 
 client presentations, demos, and POVs
 
 to support business development
 
 &middot; Contribute to
 
 thought-leadership content
 
 (e.g., LinkedIn posts, client workshops, summit collateral)
 
 
 AI s Domain Learning
 
 &middot; Over time, develop a
 
 working knowledge of agentic AI concepts
 
 (RAG, knowledge graphs, intelligent data extraction)
 
 &middot; Experiment with
 
 AI-native tools
 
 (conversational apps, multi-agent systems, knowledge modelling)
 
 
 
 
 
 
 
 
 Key
 
 
 
 
 Requirements
 
 
 
 &middot;
 
 Background
 
 : Degree in Business, Finance, Economics, or Technology (MBA preferred but not mandatory)
 
 &middot;
 
 Domain
 
 : Strong experience between 8 to 12 years in Wealth Management / Financial Services (prior consulting experience with Big 4s, Accenture MBBs in BFSI a plus)
 
 
 
 Skills
 
 
 :
 
 
 o Analytical and structured thinking; ability to translate business problems into workflows
 
 o Excellent communication and presentation skills
 
 
 
 
 
 Mindset
 
 
 :
 
 
 o Curiosity to learn
 
 agentic AI
 
 and apply it in real client contexts
 
 o Entrepreneurial, proactive, and comfortable engaging directly with clients
 
 
 
 
</div>

Functional Consultant – Industry Role Wealth Management

Coforge

<div>
 
 
 Role:
 
 Technical Project Manager
 
 
 
 Skills:
 
 Application development, .Net or Java development, Project Management.
 
 
 
 Location:
 
 Greater Noida
 
 
 
 Experience:
 
 12+ Years
 
 
 
 Mode:
 
 Work from office
 
 
 
 
 
 We at Coforge are hiring We are seeking a highly skilled
 
 Technical Project Manager
 
 with proven experience in
 
 airport operations
 
 and
 
 application development
 
 . The ideal candidate will lead cross-functional teams to deliver innovative technology solutions that enhance airport efficiency, passenger experience, and operational safety.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead end-to-end delivery of airport technology projects, including passenger processing systems, baggage handling, and airside applications.
 </li>
 <li>
 Manage application development lifecycle: requirements gathering, design, development, testing, deployment, and support.
 </li>
 <li>
 Collaborate with airport stakeholders, airlines, ground handlers, and regulatory bodies to ensure project alignment.
 </li>
 <li>
 Oversee integration of applications with existing airport systems (e.g., AODB, FIDS, BHS, CUTE/CUPPS).
 </li>
 <li>
 Ensure compliance with aviation standards (IATA, ICAO) and cybersecurity protocols.
 </li>
 <li>
 Develop and maintain detailed project plans, budgets, and risk registers.
 </li>
 <li>
 Conduct regular status meetings and provide executive-level reporting.
 </li>
 <li>
 Manage vendor relationships and third-party development teams.
 </li>
 </ul>
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (Master&rsquo;s preferred).
 </li>
 <li>
 10+ years of experience in technical project management.
 </li>
 <li>
 3+ years of experience in airport technology or aviation domain.
 </li>
 <li>
 Strong background in application development (web/mobile/cloud).
 </li>
 <li>
 Familiarity with airport systems: AODB, FIDS, BHS, RMS, CUTE/CUPPS.
 </li>
 <li>
 Experience with Agile/Scrum and DevOps methodologies.
 </li>
 <li>
 Excellent communication, stakeholder management, and leadership skills.
 </li>
 <li>
 PMP, PRINCE2, or Agile certification is a plus.
 </li>
 </ul>
 
 
</div>

Technical Project Manager

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