
A Business Architect is responsible for designing and aligning business strategies and operations with the organization's overall goals and objectives.
Roles and Responsibilities:
1. Designing and implementing business strategies: Business Architects are responsible for developing and implementing business strategies that align with the organization's goals and objectives. They identify areas for improvement, design solutions, and work with stakeholders to implement changes.
2. Aligning business processes: Business Architects ensure that business processes are aligned with the organization's overall goals and objectives. They identify areas for improvement and design processes that support efficient and effective operations.
3. Developing and implementing business architecture: Business Architects develop and implement business architecture that aligns with the organization's goals and objectives. They define the organization's structure, systems, processes, and technology, ensuring that they are aligned with the business strategy.
4. Analyzing business requirements: Business Architects analyze business requirements to identify opportunities for improvement. They work with stakeholders to define requirements and design solutions that meet those requirements.
5. Leading cross-functional teams: Business Architects lead cross-functional teams, bringing together stakeholders from different departments to design and implement solutions that support the organization's goals and objectives.
6. Communicating with stakeholders: Business Architects communicate with stakeholders to understand their needs and expectations, and to keep them informed of progress and changes. They work with stakeholders to ensure that solutions meet their requirements and expectations.
7. Managing change: Business Architects manage change by identifying potential roadblocks and developing strategies to mitigate them. They work with stakeholders to implement changes and ensure that they are adopted effectively.
8. Continuously improving processes: Business Architects are responsible for continuously improving processes to ensure that they remain aligned with the organization's goals and objectives. They identify areas for improvement, design solutions, and work with stakeholders to implement changes
Overall, a Business Architect plays a critical role in designing and implementing strategies, processes, and systems that support the organization's goals and objectives. They work closely with stakeholders across the organization, leading cross-functional teams and managing change to ensure that solutions are effective and efficient.
Total exp: 8-10 years
Rel exp: 5 years (Business analysis, Management consulting)
Location: Chennai
Salary package: 22-25 LPA (on average)

Similar jobs
Key Responsibilities:
Answer phones and respond to emails,
providing information or redirecting queries to appropriate departments or personnel.
International Voice Process
Timing: 6.00 pm to 3.00 pm
Only Male Candidate
Are you an IT professional with 1.5-3 years of experience with strong fundamentals in any programming language? If yes, Apply now!
Position: Programmer Analyst
CTC: 8LPA to 10LPA
Interview Process:
1. Eligibility Check
2. Technical and HR Round of Interviews
3. A letter (LoI) from the Client to kick start the Technical Grooming Session
4. Evaluation
5. Offer letter
What you’ll be doing:
LiteStore is seeking a dynamic and driven Management Trainee to join our passionate team. This role offers a unique opportunity to work closely with the company's founders, contributing to the strategic initiatives that drive LiteStore's growth and success. As a Management Intern, you will gain invaluable insights into the world of innovative retail, D2C brands, digital-to-physical brand transitions, and building strategic initiatives.
Responsibilities:
- Collaborate directly with LiteStore's Strategic Initiatives Team to support their day-to-day activities and strategic priorities.
- Conduct in-depth research and analysis on market trends, competitor landscape, and potential growth opportunities to inform decision-making.
- Assist in preparing and refining presentations, reports, and documentation for internal and external stakeholders.
- Participate in brainstorming sessions, idea generation, and strategic planning discussions.
- Help coordinate and manage special projects, events, and initiatives that align with LiteStore's vision and goals.
- Liaise with cross-functional teams, including Projects, Operations, Finance and Business Development, to drive efficient and effective execution of key projects.
- Provide administrative support, including calendar management, scheduling meetings, and handling communication on behalf of the Team.
- Maintain confidentiality and professionalism while handling sensitive information and high-level interactions.
Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Engineering, Business Administration, Entrepreneurship, Marketing, or a related field.
- Strong passion for entrepreneurship, retail innovation, and the startup ecosystem.
- Excellent research, analytical, and problem-solving skills.
- Exceptional written and verbal communication abilities.
- Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
- Highly organized with a keen eye for detail and the ability to manage multiple tasks simultaneously.
- Self-motivated, proactive, and able to work independently as well as collaboratively in a fast-paced environment.
- Professional demeanor, strong interpersonal skills, and the ability to interact with individuals at all levels.
- Prior internship experience in a startup, entrepreneurship, or business-related role is a plus.
We are looking for an energetic and positive IT professional to join our team as a SharePoint Developer. This role will drive the design, development and maintenance of our clients’ SharePoint environment using both programming and project management skillsets. The ideal candidate should be an experienced SharePoint professional with a programmer’s mindset and a high level of attention to detail. This role is not a good fit for a lone wolf who prefers to work alone but is perfect for a team player with strong communication and collaboration skills.
To ensure success as a SharePoint developer, you should have extensive knowledge of SharePoint app development using SPFx, proficiency with front-end programming languages, and the ability to solve complex software issues.
- Develop Web look Intranet Portal Collaboration Intranet Site and Branding on SharePoint platform.
- Build new landing page, department templates/pages, newsletter, banner, and videos accessible to any device.
- Implement, deploy, package, and maintain new intranet portal site and SharePoint site.
- Use SharePoint Framework SPFx to create website designs with OOTB, UI extension, page layouts, themes, and display templates.
- Code pages using HTML5, JavaScript, and Typescript, jQuery, CSS, SQL, Bootstrap or responsive design for all devices.
- Create web parts, lists/library, content types, site columns, master pages, search navigation, permissions, and data management
- Build workflow forms using SharePoint Designer, and PowerApps/Flow.
- Migrate data from SharePoint Online to SP 2010/2013/2016 using Sharegate, Quest, or Metalogix migration tool.
- Testing and debugging code.
- Reviewing website interface and software stability.
- Troubleshooting software issues.
- Maintaining and updating SharePoint applications.
- Providing systems training to staff and customers.
Automotive Embedded Developer
Experience: 3-8 Years
Location: Bangalore, Hyderabad, Chennai, Pune, Thiruvananthapuram, Calicut
Company: Tata Elxsi
Skills : Embedded C, CAN Protocol, Vector Tools, Aspice. Design and Development of ECU
Job responsibilities
- You will partner with teammates to create complex data processing pipelines in order to solve our clients' most complex challenges
- You will collaborate with Data Scientists in order to design scalable implementations of their models
- You will pair to write clean and iterative code based on TDD
- Leverage various continuous delivery practices to deploy, support and operate data pipelines
- Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available
- Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
- Create data models and speak to the tradeoffs of different modeling approaches
- Seamlessly incorporate data quality into your day-to-day work as well as into the delivery process
- Assure effective collaboration between Thoughtworks' and the client's teams, encouraging open communication and advocating for shared outcomes
- You have a good understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop
- You have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting
- Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions
- You are comfortable taking data-driven approaches and applying data security strategy to solve business problems
- Working with data excites you: you can build and operate data pipelines, and maintain data storage, all within distributed systems
- You're genuinely excited about data infrastructure and operations with a familiarity working in cloud environments
- Professional skills
- You're resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives
- An interest in coaching, sharing your experience and knowledge with teammates
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed
- Presence in the external tech community: you willingly share your expertise with others via speaking engagements, contributions to open source, blogs and more
2. Worked on Android applications from scratch. Exposure to audio video content based applications is
preferred.
3. Up to date on upcoming trends in android and its ecosystem.
4. Sound knowledge about application performance tuning on all parameters like network utilization,
application size and battery usage.
5. Experience with dagger, retrofit, rx-android, android architecture components etc.
6. Hands on experience with test driven development, mock frameworks, modular code design and popular design patterns.
ROLES AND RESPONSIBILITIES:
- Ownership of one of Plivo’s products to define a long term roadmap
- Engage with customers and cross-functional teams to design, deliver, and support the product
- Managing the product backlog and prioritising product stories in engineering sprints
- Working closely with the engineering teams on new features and critical bugs
- Internal and External stakeholder management
- Roadmap definition and execution
- Product training programs
The buck stops at you on the following key aspects of the product:
- Product Quality: Bugs, Uptime, Stability , Test Process
- Product Development: User experience, New features and enhancements
- Product Adoption: Growth, Customer Acquisition, Churn & Go-To-Market for new features.
- P&L: Pricing, Packaging, Margins
- Sustainability: Enabling Sales, Support, Solutions Engineering & Customer Success teams
REQUIREMENT:
- At least 4 years of overall experience and 3 years of prior PM experience
- Software development background is required
- Experience working with REST APIs is a bonus
- Experience with stakeholders and customer management
• Front-End: HTML5, Bootstrap 3/4, jQuery, Angular
• Database: SQL Server, Oracle
• Ability to perform requirement analysis and design of customer requirements
• Good understanding of coding standards and best practises
• Exposure to customer communications for requirements discussion
ML Engineer-Analyst/ Senior Analyst
Job purpose:
To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.
Accountabilities:
- Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.
- Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.
- Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.
- Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.
- Analyze the errors of the model and design strategies to overcome them.
- Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.
Qualifications & Specifications
- Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference
- Experience of machine learning algorithms and libraries
- Understanding of data structures, data modeling and software architecture.
- Deep knowledge of math, probability, statistics and algorithms
- Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon
- Big data environment: Hadoop, Spark
- Programming languages: Python, R, PySpark
- Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means
clustering, ensemble models, random forest, svm, gradient boosting
- Sampling data: bagging & boosting, bootstrapping
- Neural networks: ANN, CNN, RNN related topics
- Deep learning: Keras, Tensorflow
- Experience with AWS Sagemaker deployment and agile methodology








