11+ TWS Jobs in Hyderabad | TWS Job openings in Hyderabad

Job Title: Product Owner / Product Manager

📍 Location: Hyderabad

🕓 Employment Type: Contract

🧠 Experience Required: 10+ Years

Job Purpose

We are seeking an experienced Product Owner / Product Manager  to lead a team responsible for the design, development, deployment, and continuous improvement of global application products and integration platforms.

This role provides functional and technical expertise across multiple enterprise technologies — including BAI MQFT, BizTalk, MuleSoft, OpenText, Solace, and TWS (Tivoli Workload Scheduler) — ensuring delivery excellence, operational stability, and business alignment.

As part of the Global Applications Service Delivery Team, the Product Owner will collaborate with stakeholders across regions, manage vendor relationships, and drive Agile and ITIL-based service delivery and product management practices.

Key Responsibilities

Product & Service Ownership

• Own the end-to-end lifecycle management of integration and application services (BAI MQFT, BizTalk, MuleSoft, OpenText, Solace, TWS).
• Lead design, development, deployment, and support of global IT solutions aligned with business strategies.
• Drive continuous improvement and ensure products evolve effectively to meet changing business needs.
• Maintain awareness of industry trends and emerging technologies to recommend innovative, cost-effective solutions.

Delivery & Vendor Management

• Manage 3rd-party vendors, ensuring delivery excellence through defined SLAs, KPIs, and performance metrics.
• Oversee service delivery operations, ensuring availability, reliability, and performance standards are met.
• Serve as the primary escalation point for business demands and critical incidents.

Leadership & Team Development

• Lead and mentor a global team (up to 10 associates plus vendor resources), fostering a high-performance, collaborative environment.
• Develop talent and succession plans to ensure sustainability of technical and business expertise.
• Promote Agile methodologies and DevOps practices, acting as a role model for collaborative and adaptive behaviors.

Stakeholder Management

• Collaborate with business stakeholders, IT leadership, and cross-functional teams (Platform, Database, Security, Deployment, etc.) to align IT solutions with business goals.
• Provide regular progress updates to stakeholders on demands, deliverables, and service performance.
• Build and sustain a network of key users, functional experts, and product owners globally.

Governance & Financial Management

• Manage product area budgets, ensuring cost optimization and transparency.
• Contribute to strategic planning and support the HUB Talent Pipeline strategy.
• Ensure compliance with IT governance, risk management, and service introduction frameworks.

Qualifications & Experience

Education:

• Bachelor’s degree in Information Technology, Computer Science, or a related field.

Experience:

• Minimum 10+ years of experience in SAP ABAP development and product management.
• Strong technical and functional knowledge of integration technologies:
• BAI MQFT, Microsoft BizTalk, MuleSoft, OpenText, Solace, TWS (Tivoli Workload Scheduler)
• Experience managing global IT delivery teams and vendor resources.
• Exposure to FMCG (Fast-Moving Consumer Goods) industry preferred.
• Proven experience with Agile, Scrum, ITIL, DevOps frameworks.
• Certifications in ITIL, Agile/Scrum, PMI, or DevOps will be an advantage.

Key Competencies

Technical & Functional Skills:

• Product Lifecycle Management
• Service Delivery & ITIL Processes
• Stakeholder Relationship Management
• Vendor Management
• Service Level Management (SLM)
• Agile / Scrum / DevOps Methodologies
• SAP ABAP Expertise

Leadership & Behavioral Competencies:

• Strategic Thinking & Problem Solving
• Team Building & Talent Development
• Customer-Centric Mindset (“Zero Distance to Customer”)
• Dealing with Ambiguity & Complex Challenges
• Strong Communication & Collaboration Skills

Job Title: Store Manager – Apparel Retail

Location: [Add Location]

Experience: 3–6 Years (Apparel / Fashion Retail preferred)

Industry: Retail / Fashion / Apparel

Job Summary

We are looking for an experienced Store Manager to lead day-to-day operations of our apparel store. The role involves driving sales, managing store staff, ensuring excellent customer experience, and maintaining visual merchandising standards while achieving business targets.

Key Responsibilities

• Manage overall store operations and ensure smooth daily functioning
• Drive store sales and achieve monthly/annual revenue targets
• Lead, train, and motivate sales associates to improve performance
• Ensure excellent customer service and handle customer escalations
• Maintain visual merchandising standards as per brand guidelines
• Monitor stock levels, inventory control, and replenishment planning
• Analyze sales reports, footfall, and conversion metrics
• Ensure compliance with company policies, SOPs, and audit standards
• Handle store expenses, cash management, and shrinkage control
• Coordinate with HO for promotions, new launches, and reporting

Required Skills & Qualifications

• Graduate in any discipline
• 3–6 years of experience as Store Manager / Assistant Store Manager in apparel retail
• Strong leadership and team-handling skills
• Good communication and customer interaction skills
• Sales-driven mindset with strong business acumen
• Knowledge of POS systems and retail MIS
• Ability to work in shifts and on weekends

Key Competencies

• Team Management
• Sales & Target Achievement
• Customer Relationship Management
• Inventory & Stock Control
• Visual Merchandising
• Retail Operations

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

We are looking for a senior, hands-on international sales professional with strong US market exposure to drive outbound sales, generate pipeline, close deals, and establish a high-performing sales team in India.

This is a hunter role requiring strong IC ownership initially, with responsibility to build and scale the US-focused sales function from India.

Key Responsibilities

Individual Contributor (Core Responsibility)

• Execute outbound prospecting (cold calls, emails, LinkedIn outreach) for US market
• Drive IT services / SaaS / solution sales conversations with US customers
• Own the full sales cycle: lead generation → qualification → proposal → negotiation → closure
• Consistently add new logos across mid-market and enterprise customers
• Maintain accurate CRM, pipeline forecasting, and reporting

US Market & Stakeholder Engagement

• Actively engage with US Directors, clients, and partners during US business hours
• Understand client pain points and position technology solutions effectively
• Represent the company in sales calls, demos, and negotiations

Sales Strategy & Process Setup

• Define outbound sales playbooks, ICPs, messaging, and outreach strategy
• Set up sales processes, tools, metrics, and reporting frameworks
• Work closely with leadership to align revenue targets and growth plans

Team Setup & Leadership

• Build and mentor a US-focused sales team in India
• Hire, onboard, and train SDRs / sales executives
• Transition gradually from pure IC to player-coach model

Required Skills & Experience

Must-Have

• 8+ years of experience in international IT / SaaS / solution sales
• Proven exposure to US market sales (direct client interaction mandatory)
• Strong experience in outbound sales and lead generation
• Demonstrated success in new logo acquisition
• Comfortable working in night shift (6 PM–3 AM IST)
• Excellent communication, negotiation, and closing skills
• Experience working as an Individual Contributor

Good to Have

• Experience setting up or scaling inside sales teams in India
• Exposure to B2B enterprise or mid-market sales
• Familiarity with CRM tools (HubSpot, Salesforce, Zoho, etc.)
• Background in IT services, digital transformation, cloud, AI, or SaaS solutions

About Us

We are a fast-growing tech company building scalable and modern web applications. Our team works on cutting-edge technologies in AI, automation, and digital solutions. We are looking for a Frontend Intern (Next.js) to join our engineering team and contribute to building interactive and user-friendly web applications.

Role & Responsibilities

• Build, test, and deploy responsive user interfaces using Next.js and React.
• Collaborate with designers and backend developers to implement seamless user experiences.
• Optimize components for maximum performance across web-capable devices and browsers.
• Work on real-world projects involving dashboards, AI products, and customer-facing platforms.
• Assist in debugging, code reviews, and documentation.
• Stay up-to-date with the latest frontend trends and best practices.

Requirements

• Basic understanding of JavaScript/TypeScript, React.js, and Next.js.
• Familiarity with HTML5, CSS3, and modern styling frameworks (TailwindCSS, Material UI, etc.).
• Knowledge of REST APIs or GraphQL integration.
• Good problem-solving skills and willingness to learn quickly.
• Ability to work in a collaborative team environment.
• Prior experience with Git/GitHub is a plus.

Nice-to-Have (Optional but a Plus)

• Experience with server-side rendering (SSR) and static site generation (SSG) in Next.js.
• Exposure to UI/UX design tools (Figma, Adobe XD, etc.).

What You’ll Gain

• Hands-on experience working on live projects with production-scale applications.
• Mentorship from experienced developers.
• Exposure to the complete product development lifecycle.

Roles and Responsibilities:

• Acquire and activate travel agents through various channels like office visits, telephone, email, social networks, events & meetings.
• Establish, grow, and maintain commercial ties with travel agents—both current and potential—in the designated territory to attract new partners for our services.
• Create a sales funnel, identify the right leads, define long-term goals, and engage in strategic business planning.
• Align sales activities with tele-sales team, product, marketing, and customer success team.
• Build in-depth understand of our products and give demos or solve product queries to convert agents.
• Attend road shows, trade fairs and other travel industry events.
• Maintain and analyse data.
• Stay updated on industry insights and opportunities for strategic planning and growth.

Experience and Skills you MUST have:

• At least 4 years sales experience in the travel industry
• Excellent communication and interpersonal skills
• Ability to build relationships
• Prior experience in acquiring travel agents or in visas or insurance is a big plus
• Proficient with using CRMs and google sheets
• Ability to handle pressure

Invesco is seeking a skilled React.js Developer with a strong background in data analytics to join our team. The Engineer within the Enterprise Risk function will manage complex data engineering, analysis, and programming tasks in support of the execution of the Enterprise Risk and Internal Audit activities and projects as defined by the Enterprise Risk Analytics leadership team. The Engineer will manage and streamline data extraction, transformation, and load processes, design use cases, analyze data, and apply creativity and data science techniques to deliver effective and efficient solutions enabling greater risk intelligence and insights.

Key Responsibilities / Duties:

• Acquire, transform, and manage data supporting risk and control-related activities
• Design, build, and maintain data analytics and data science tools supporting individual tasks and projects.
• Maintain programming code, software packages, and databases to support ongoing analytics activities.
• Exercise judgment in determining the application of data analytics for business processes, including the identification and location of data sources.
• Actively discover data analytics capabilities within the firm and leverage such capabilities where possible.
• Introduce new data analytics-related tools and technologies to business partners and consumers.
• Support business partners, data analysts, consumers’ understanding of product logic and related system processes
• Share learnings and alternative techniques with other Engineers and Data Analysts.
• Perform other duties and special projects as assigned by the Enterprise Risk Analytics leadership team and other leaders across Enterprise Risk and Internal Audit.
• Actively contribute to developing a culture of innovation within the department and risk and control awareness throughout the organization.
• Keep Head of Data Science & Engineering and departmental leadership informed of activities.
  
  

Work Experience / Knowledge:

• Minimum 5 years of experience in data analysis, data management, software development or data-related risk management roles; previous experience in programming will be considered.
• Experience within the financial services sector preferred
  
  

Skills / Other Personal Attributes Required:

• Proactive problem solver with the ability to identify, design, and deliver solutions based on high level objectives and detailed requirements. Thoroughly identify and investigate issues and determine the appropriate course of action
• Excellent in code development supporting data analytics and visualization, preferably programming languages and libraries such as JavaScript, R, Python, NextUI, ReactUI, Shiny, Streamlit, Plotly and D3.js
• Excellent with data extraction, transformation, and load processes (ETL), structured query language (SQL), and database management. 
• Strong self-learner to continuously develop new technical capabilities to become more efficient and productive
• Experience using end user data analytics software such as Tableau, PowerBI, SAS, and Excel a plus
• Proficient with various disciplines of data science, such as machine learning, natural language processing and network science
• Experience with end-to-end implementation of web applications on AWS, including using services such as EC2, EKS, RDS, ALB, Route53 and Airflow a plus
• Self-starter and motivated; must be able to work without frequent direct supervision
• Proficient with Microsoft Office applications (Teams, Outlook, MS Word, Excel, PowerPoint etc.)
• Excellent analytical and problem-solving skills
• Strong project management and administrative skills
• Strong written and verbal communication skills (English)
• Results-oriented and comfortable as an individual contributor on specific assignments
• Ability to handle confidential information and communicate clearly with individuals at a wide range of levels on sensitive matters
• Demonstrated ability to work in a diverse, cross-functional, and international environment
• Adaptable and comfortable with changing environment
• Demonstrates high professional ethics
  
  

Formal Education:

• Bachelor’s degree in Information Systems, Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or Statistics preferred. Other technology or quantitative finance-related degrees considered depending upon relevant experience
• MBA, Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, Data Science, or Finance a plus
  
  

License / Registration / Certification:

• Professional data science, analytics, business intelligence, visualization, and/or development designation (e.g., CAP, CBIP, or other relevant product-specific certificates) or actively pursuing the completion of such designation preferred
• Other certifications considered depending on domain and relevant experience
  
  

Working Conditions:

Potential for up to 10% domestic and international travel

Job Description :-

• Have intermediate/advanced knowledge of Python.
• Hands-on experience with OOP in Python. Flask/Django framework, ORM with MySQL, MongoDB is a plus.
• Must have experience of writing shell scripts and configuration files. Should be proficient in bash.
• Should have excellent Linux administration capabilities.
• Working experience of SCM. Git is preferred.
• Should have knowledge of the basics of networking in Linux, and computer networks in general.
• Experience in engineering practices such as code refactoring, design patterns, design driven development, Continuous Integration.
• Understanding of Architecture of OpenStack/Kubernetes and good knowledge of standard client interfaces is a plus.
• Code contributed to OpenStack/Kubernetes community will be plus.
• Understanding of NFV and SDN domain will be plus.