Urwah Admin

Morningstar

<div><p>Talent Acquisition Operations Analyst</p><p></p><p><b>
The Group</b></p><p>
Morningstar&rsquo;s corporate functions play an essential role in supporting our company&rsquo;s strategic initiatives, day-to-day operations, and infrastructure. The People and Culture team is the steward of Morningstar&rsquo;s unique culture. We design and deliver the end-to-end programs and experiences that support the entire talent lifecycle. By helping our employees succeed, we contribute to Morningstar&rsquo;s growth and success.</p><p><b><br>
The Role</b></p><p>
The Talent Acquisition Operations Analyst plays a key role in driving process excellence, data integrity, and technology optimization for the India region. You will serve as the process and technology SME for India TA&mdash;ensuring our systems, analytics, and governance practices enable an efficient, high-quality hiring experience for candidates, recruiters, and business leaders. Reporting to the Director of Global Talent Acquisition Operations, this role focuses on identifying opportunities for process standardization, improving efficiency, and implementing solutions. You will collaborate with the Director, Talent Acquisition, India region, and across People &amp; Culture functions to enable process optimization, technology enablement, and an improved User experience.</p><p><b><br>
Key Responsibilities</b></p><ul><li>
Partner with the Director, Talent Acquisition Operations to establish, refine and document global talent acquisition processes that improve recruiting workflows, reduce manual work, and ensure consistent candidate experience. Includes requirements gathering, leading user design sessions, and using Lean Six Sigma tools to identify and prioritize efforts.</li><li>
Serve as a Workday subject matter expert for global Talent Acquisition teams, defining our roadmap of enhancements in partnership with the Workday team. Manage day-to-day questions and issues.</li><li>
Design and maintain the recruiting playbook for India, ensuring that recruiting teams understand and adhere to TA processes and compliance requirements. Implement governance practices through periodic audits.</li><li>
Identify and document reporting and/or dashboard needs and assure insights are delivered to TA, business, and HR leaders.</li><li>
Monitor errors and defects in tools, processes, and technology to identify root cause issues. Partner with Workday and IT teams to resolve/implement improvements.</li><li>
Support recruiter enablement through configuration, testing, training, and documentation of processes.</li><li>
Collaborate across COE&rsquo;s to minimize organizational silos, integrate future state plans, and streamline communications. Support internal communications and training to drive awareness and consistent adoption of TA processes and systems.</li><li>
Assist with vendor management and evaluation of new TA technology solutions.</li></ul><p><b><br>
Requirements</b></p><ul><li>
4+ years of experience working in talent acquisition operations, HR Information Systems, or related.</li><li>
Demonstrated expertise in specific areas of TA or HR operations which include but are not limited to talent acquisition technology, candidate/manager experience and data insights and analytics.</li><li>
Proficiency working with Workday Recruiting or equivalent ATS, as well as sourcing and candidate evaluation tools.</li><li>
Proven success in identifying, designing, and implementing process improvement; good command of data and analytics.</li><li>
Ability to present data and influence key stakeholders, establishing credibility and building trust with team and internal clients.</li><li>
Knowledge of India labor laws and data privacy practices related to recruiting.</li><li>
Effective communication, organizational and project management skills.</li><li>
Four-year degree preferred.</li></ul><p><br>
Morningstar is an equal opportunity employer.</p><p></p><p>
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.</p><p></p>
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity</div>

Talent Acquisition Analyst

<div><p><b>Senior QA Automation Engineer</b></p><p></p><p><b>
Shift </b>&ndash; General</p><p><b>
Location</b> &ndash; Navi Mumbai</p><p><b>
Work Mode</b> &ndash; Hybrid</p><p></p><p><b>
About Sustainalytics:</b></p><p>
Sustainalytics, a part of Morningstar, delivers high-quality environmental, social, and governance (ESG) research, ratings, and data. Our innovative solutions help institutional investors and companies identify, understand, and manage ESG-driven risks and opportunities, fostering a more sustainable global economy. With over 30 years of experience, Sustainalytics leads in providing cutting-edge ESG insights across diverse asset classes at both company and fund levels.</p><p></p><p><b>
About the Role</b><br>
As a Senior QA Automation Engineer, you will contribute to the work of the digital products team and ensure that new and existing products meet high standards of usability and quality. This role is a full stack QA role which needs a blend of SQL skills, automation and manual testing.</p><p></p><div><b>
Job Responsibilities</b><br>
<ul><li>Play an active part in the product team throughout the Lifecycle to collaborate on the analysis, design, development and testing</li><li>Actively participate in release planning meetings to create stories with acceptance criteria by helping identify missing or incomplete requirements</li><li>Participate in agile ceremonies and collaborate in peer reviews</li><li>Maintain and develop new strategies for the Automation framework and all related automation activities + Keenly follow QA best practices</li><li>Creates and Executes automated scripts for regression, integration, and functional testing on newly designed or modified applications/systems</li><li>Clearly articulates verbally and in writing the specifics around defects</li><li>Monitors and updates defect reports as needed to ensure timely problem resolution</li><li>Performs application and project risk analysis and recommends quality improvements</li><li>Independently follows up with design/development resources regarding defects</li><li>Communicates clearly and concisely all-time delays or defects in the software immediately to appropriate team members and management</li><li>Mentor and coach peers &amp; new team members and take initiatives to solve problem</li><li>Evaluate solutions to design, script, and execute Performance tests (Load, Stress)</li><li>Stay up-to-date with new testing tools and test strategies</li></ul></div><p></p><div><b>
Qualifications</b><br>
<ul><li>5+ years of relevant QA technical experience</li><li>Knowledge of tools, concepts, and methodologies of QA, as well as ensuring the technical translation of requirements into test plans</li><li>Clear communicator (written and verbal) &ndash; to ensure cross-functional team collaboration and ability to work with a wide range of stakeholders</li><li>Strong computer skills including Microsoft Office and databases</li><li>Ability to focus on deadlines and deliverables &ndash; be motivated and take informative quick decisions</li><li>Working knowledge of the following technologies, tools and concepts is required</li></ul>
o SQL (PostgreSQL) complex queries, experience of cloud like AWS is plus<br>
o Test Automation, with a focus on Python, Selenium, JMeter, CI/CD tools (like Jenkins ,Harness), Postman, Swagger, API Automation(Jave + Rest Assured, Python requests)<br>
o Hands on experience of tools like Test Rail, JIRA, GitHub</div><p></p><p><b>
Morningstar is an equal opportunity employer.</b></p><p></p><p>
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.</p><p></p>
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity</div>

Senior QA Automation Engineer

<div><p><b>Senior Manager of Software Engineering</b></p><p></p><p><b>
Job Description</b></p><p>
The Senior Manager of Software Engineering is responsible for leading, mentoring, and managing software engineering teams to deliver high-quality software solutions. This role involves strategic planning, project management, and collaboration with cross-functional teams to align technology initiatives with business goals.</p><p><b><br>
Key Responsibilities:</b><br>
Team Leadership: Mentor and develop engineers, fostering a collaborative and innovative team culture.<br>
Project Management: Oversee multiple software development projects, ensuring timely delivery and alignment with business objectives.<br>
Technical Oversight: Provide guidance on software architecture, design, and best practices, ensuring technical quality and scalability of solutions.<br>
Stakeholder Collaboration: Work with product managers, designers, and other stakeholders to define project requirements and deliverables.<br>
Process Improvement: Implement and improve software development processes, methodologies, and tools to enhance productivity and efficiency.<br>
Recruitment: Participate in the hiring process, identifying and attracting top engineering talent.<br>
Budget Management: Manage budgets and resources for software development initiatives.</p><p><b><br>
Qualifications:</b><br>
Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.<br>
Experience: 17+ years of software development experience, with at least 3-5 years in a management role.<br>
Technical Skills: Proficiency in programming languages, software development methodologies (Agile, Scrum), and familiarity with software development tools.<br>
Leadership Skills: Strong leadership and interpersonal skills, with a proven ability to lead diverse teams.<br>
Problem-Solving: Excellent analytical and problem-solving abilities, with a focus on delivering innovative solutions.<br>
Communication: Strong written and verbal communication skills, capable of effectively conveying technical concepts to non-technical stakeholders.</p><p><b><br>
Preferred Qualifications:</b><br>
Experience with cloud technologies, DevOps practices, and continuous integration/continuous deployment (CI/CD) pipelines.<br>
Knowledge of emerging technologies and trends in software development.</p><p></p><p>
Morningstar is an equal opportunity employer.</p><p></p><p>
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.</p><p></p>
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity</div>

Senior Manager Of Software Engineering

<div><p>Job Title<br>
QA Automation Engineer</p><p>
About the Role<br>
As a QA Automation Engineer, you will contribute to the work with the digital products team and ensure that new and existing products meet high usability and quality standards. This role isa full-stack QA role which needs a blend of SQL skills, automation, and manual testing.</p><div>
Job Responsibilities<br>
<ul><li>Play an active part in the product team throughout the Lifecycle to collaborate on the analysis, design, development, and testing</li><li>Actively participate in release planning meetings to create stories with acceptance criteria by helping identify missing or incomplete requirements</li><li>Participate in agile ceremonies and collaborate in peer reviews</li><li>Maintain and develop new strategies for the Automation framework and all related automation activities + Keenly follow QA best practices</li><li>Creates and executes automated scripts for regression, integration, and functional testing on newly designed or modified applications/systems</li><li>Clearly articulates verbally and in writing the specifics around defects</li><li>Monitors and updates defect reports as needed to ensure timely problem resolution</li><li>Performs application and project risk analysis and recommends quality improvements</li><li>Independently follows up with design/development resources regarding defects</li><li>Communicates clearly and concisely all-time delays or defects in the software immediately to appropriate team members and management</li><li>Evaluate solutions to design, script, and execute Performance tests (Load, Stress)</li><li>Stay up to date with new testing tools and test strategies</li></ul></div><div>
Qualifications<br>
<ul><li>2+ years of relevant QA technical experience.</li><li>Knowledge of QA tools, concepts, and methodologies, as well as ensuring the technical translation of requirements into test plans.</li><li>Clear communicator (written and verbal) &ndash; to ensure cross-functional team collaboration and ability to work with a wide range of stakeholders.</li><li>Strong computer skills including Microsoft Office and databases.</li><li>Ability to focus on deadlines and deliverables &ndash; be motivated and take informative quick decisions</li><li>Working knowledge of the following technologies, tools and concepts is required</li></ul>
o SQL (PostgreSQL) complex queries, experience of cloud like AWS is plus<br>
o Test Automation, with a focus on Java or Python, Selenium, JMeter, CI/CD tools (like Jenkins ,Harness), Postman, Swagger, API Automation(Jave + Rest Assured, Python requests)<br>
o Hands on experience of tools like Test Rail, JIRA, GitHub</div><p></p><p>
Morningstar is an equal opportunity employer.</p><p></p><p>
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.</p><p></p>
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity</div>

QA Automation Engineer

<div><p><b>Role</b> : Manager of Model Validation</p><p><b>
Shift </b>: General</p><p></p><p><b>
Company Overview</b><br>
Morningstar is a leading financial institution renowned for its innovative quantitative research and data-driven approaches in finance. We specialize in developing cutting-edge models to navigate complex financial markets and provide exceptional services to our clients worldwide.</p><p></p><p><b>
Position Overview</b><br>
We are seeking a highly skilled and experienced Manager of Model Validation to join our Analytics group. The successful candidate will be responsible for leading the validation efforts of our data science and finance models, ensuring their accuracy, robustness, and compliance with regulatory standards. This role will play a critical part in safeguarding the integrity of our models and maintaining the trust of our stakeholders.</p><p></p><p><b>
Key Responsibilities</b></p><p></p><ul><li><p><b>
Model Validation Leadership</b>: Lead the validation process for a wide range of data science and finance models, including but not limited to risk models, pricing models, machine learning algorithms, and trading strategies.
</p></li><li><p><b>Strategy Development:</b> Develop and implement comprehensive validation strategies and methodologies to assess model performance, stability, and predictive power. Stay abreast of industry best practices and regulatory requirements to continually enhance our validation framework.</p></li><li><p><b>
Collaboration</b>: Collaborate closely with cross-functional teams including Quantitative Researchers, Data Scientists, Traders, Risk Managers, and Compliance Officers to understand model requirements, design effective validation tests, and interpret validation results.</p></li><li><p><b>
Risk Assessment</b>: Identify and evaluate model risks and limitations, highlighting potential issues7 such as data quality issues, overfitting, and model biases. Provide insightful recommendations to mitigate identified risks and enhance model performance.</p></li><li><p><b>
Documentation and Reporting</b>: Prepare clear and concise validation reports documenting findings, methodologies, and recommendations. Present validation results and insights to senior management, regulators, and internal audit teams in a coherent and understandable manner.</p></li><li><p><b>
Continuous Improvement:</b> Drive continuous improvement initiatives within the Model Validation team, including process enhancements, automation of validation tasks, and adoption of advanced analytics techniques to enhance validation efficiency and effectiveness.</p></li></ul><p></p><p><b>
Qualifications:</b></p><ul><li><p>
Bachelor&rsquo;s or master&rsquo;s degree in a quantitative discipline such as Mathematics, Statistics, Finance, Computer Science, or a related field. CFA or FRM certification is a plus.</p></li><li><p>
Extensive experience (10+ years) in model validation, quantitative analysis, or a related role within the financial services industry, with a strong understanding of data science and finance models.</p></li><li><p>
Proficiency in statistical analysis, time series analysis, and machine learning techniques. Experience with at least one of these programming languages : Python, R, Java, C++ is highly desirable. Also experience in SQL and Cloud (AWS, Azure)</p></li><li><p>
Deep knowledge of financial markets, products, and risk management concepts. Familiarity with regulatory requirements such as Basel III, CCAR, or SR 11-7 is advantageous.</p></li><li><p>
Excellent communication and stakeholder management skills, with the ability to convey complex technical concepts to diverse audiences effectively.</p></li><li><p>
Strong analytical mindset, attention to detail, and a demonstrated track record of problem-solving in a fast-paced and dynamic environment.</p></li><li><p>
Leadership experience, including the ability to mentor and coach junior team members, prioritize tasks effectively, and drive projects to completion.</p></li></ul><p></p><p><b>
Morningstar is an equal opportunity employer</b></p><p></p><p>
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.</p><p></p>
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity</div>

Manager of Model Validation

<div><div><div><p>As an Engineering Manager, AI &amp; ML (Data Collection), you will play a vital role in executing the company&rsquo;s AI and machine learning initiatives with a strong focus on data collection technologies. This position will require deep technical expertise in unstructured data processing, data collection pipeline engineering, and a hands-on approach to managing and mentoring engineers. Your leadership will ensure that AI &amp; ML data collection systems are developed and operationalized at the highest standards of performance, reliability, and security. You will be working closely with individual contributors, ensuring that projects align with broader business goals and AI/ML strategies.</p></div><p></p><div><p><br>
This role requires deep engagement in the design, development, and maintenance of AI &amp; ML models, solutions, architecture, and services. You will need to provide strong technical direction, problem-solve complex technical challenges, and ensure that the team consistently delivers high-quality, scalable solutions. You will leverage your deep knowledge in areas such as advanced natural language processing (NLP), generative AI (GenAI) and large language models (LLMs), ML Operations (MLOps), data architecture, data pipelines, and cloud-managed services.</p></div><p></p><div><p><br>
Your leadership will ensure that our AI/ML systems align with global business strategies, maintaining seamless integration and high-performance standards. You will oversee the end-to-end lifecycle of AI/ML data systems&mdash;from research and development to deployment and operationalization.</p></div><p></p><div><p><br>
You will be responsible for mentoring team members, resolving technical challenges, and fostering a culture of innovation and collaboration while ensuring they have the right tools, frameworks, and guidance to succeed. This role offers a unique opportunity to drive impactful change in a fast-paced, dynamic environment, where your efforts will directly contribute to the success of our AI/ML initiatives globally. Your ability to collaborate with cross-departmental stakeholders, provide leadership across locations, set high standards for the team, and hire, train, and retain exceptional talent is foundational to your success. You will solicit feedback, engage others with empathy, inspire creative thinking, and help foster a culture of belonging, teamwork, and purpose.</p></div><p></p><div><p><b><br>
Team</b><b> Overview</b></p></div><div><p>
You will lead a multidisciplinary team of engineers and data scientists responsible for building AI &amp; ML solutions and services as part of robust data collection pipelines handling large volumes of unstructured data. Your team will focus on building scalable and reliable systems to process and categorize data that is essential for downstream data collection processing.</p></div><p></p><div><p><b><br>
Outline of Duties and Responsibilities</b></p></div><div><ul><li><p><b>
AI &amp; ML Data Collection Leadership</b>: Drive the execution of AI &amp; ML initiatives related to data collection, ensuring that the team&rsquo;s efforts are aligned with overall business goals and strategies.</p></li></ul></div></div><div><div><ul><li><p><b>
Technical Oversight</b>: Provide hands-on technical leadership in the engineering of ML models and services, focusing on unstructured data, NLP, and classifiers. Oversee and contribute to the implementation of scalable solutions that meet high standards of reliability and efficiency.</p></li></ul></div><div><ul><li><p><b>
Team Leadership &amp; Development</b>: Lead, mentor, and develop a high-performing team of engineers and data scientists, fostering a culture of innovation and continuous improvement. Ensure effective communication and coordination within your team and across geographically dispersed teams.</p></li></ul></div><div><ul><li><p><b>
NLP Technologies</b>: Contribute to the development and application of NLP techniques, including classifiers, transformers, LLMs, and other methodologies, to efficiently process and categorize unstructured data. Ensure these models are integrated seamlessly into the broader AI/ML infrastructure.</p></li></ul></div><div><ul><li><p><b>
Data Pipeline Engineering</b>: Design, develop, and maintain advanced data collection pipelines, utilizing orchestration, messaging, database, and data platform technologies. Ensure pipelines are optimized for scalability, performance, and reliability.</p></li></ul></div><div><ul><li><p><b>
Cross-functional Collaboration</b>: Work closely with other AI/ML teams, data collection engineering teams, product management, and others to ensure data collection efforts support broader AI/ML goals and product objectives.</p></li></ul></div><div><ul><li><p><b>
Innovation &amp; Continuous Improvement</b>: Continuously explore and implement new technologies and methodologies to enhance the efficiency and accuracy of data collection and processing systems. Stay at the forefront of advancements in NLP and data processing.</p></li></ul></div><div><ul><li><p><b>
System Integrity &amp; Security</b>: Ensure that all data collection systems meet the highest standards of integrity, security, and compliance. Implement best practices for data governance and model transparency.</p></li></ul></div><div><ul><li><p><b>
Talent Acquisition &amp; Retention</b>: Play an active role in recruiting, training, and retaining top engineering talent. Foster an environment where team members are encouraged to innovate, feel valued, and achieve their full potential.</p></li></ul></div><div><ul><li><p><b>
Process Improvement</b>: Apply Agile, Lean, and Fast-Flow principles to improve team efficiency and the delivery of high-quality data collection solutions.</p></li></ul></div><div><ul><li><p><b>
Support Company Vision and Values</b>: Model and promote behaviors that align with the company&rsquo;s vision and values. Participate actively in company-wide initiatives and projects as required.</p></li></ul></div><p></p><div><p><b><br>
Experience, Skills and Qualifications</b></p></div><div><ul><li><p>
Bachelor&rsquo;s, Master&rsquo;s, or PhD in Computer Science, Mathematics, Data Science, or a related field.</p></li></ul></div><div><ul><li><p>
6+ years of experience in software engineering, with a focus on AI &amp; ML technologies, particularly in data collection and unstructured data processing.</p></li></ul></div><div><ul><li><p>
3+ years of experience in a leadership role managing individual contributors.</p></li></ul></div><div><ul><li><p>
Strong expertise in NLP and machine learning, with hands-on experience in classifiers, large language models (LLMs), and other NLP techniques. Additionally experience in Gen AI, RAG, Agentic AI is essential</p></li></ul></div><div><ul><li><p>
Extensive experience with data pipeline and messaging technologies such as Apache Kafka, Airflow, and cloud data platforms (e.g., Snowflake).</p></li></ul></div><div><ul><li><p>
Expert-level proficiency in Java, Python, SQL, and other relevant programming languages and tools.</p></li></ul></div><div><ul><li><p>
Strong understanding of cloud-native technologies and containerization (e.g., Kubernetes, Docker) with experience in managing these systems globally.</p></li></ul></div><div><ul><li><p>
Demonstrated ability to solve complex technical challenges and deliver scalable solutions.</p></li></ul></div></div><div><div><ul><li><p>
Excellent communication skills with a collaborative approach to working with global teams and stakeholders.</p></li></ul></div><div><ul><li><p>
Experience working in fast-paced environments, particularly in industries that rely on data-intensive technologies (experience in fintech is highly desirable).</p></li></ul></div><div><p><b><br>
Working Conditions</b></p></div><div><p>
The job conditions for this position are in a standard office setting. Employees in this position use PC and phones on an ongoing basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.</p></div></div><p><br>
Morningstar is an equal opportunity employer.</p><p></p><p>
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.</p><p></p>
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity</div>

Engineering Manager, Data Science and Machine Learning

<div><p><b>Director of Technology</b></p><p></p><h3 class="jobSectionHeader"><b>
Role Overview:</b></h3><h3 class="jobSectionHeader"><b>
We are seeking an experienced and strategic Director of Technology to lead our technology initiatives, oversee the development and implementation of technological solutions, and drive innovation across the organization. The ideal candidate will bring extensive experience in software development, cloud computing, and database management, with a strong leadership background to mentor teams and align technology strategies with business objectives.</b></h3><h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3><h3 class="jobSectionHeader"><b>
Develop and execute the company's technology strategy, ensuring alignment with business goals and growth plans.</b></h3><h3 class="jobSectionHeader"><b>
Lead, mentor, and manage the technology team, fostering a culture of innovation, collaboration, and continuous improvement.</b></h3><h3 class="jobSectionHeader"><b>
Oversee the architecture, design, development, and deployment of software solutions, with a focus on .NET technologies.</b></h3><h3 class="jobSectionHeader"><b>
Ensure the stability, security, and scalability of our IT infrastructure and applications.</b></h3><h3 class="jobSectionHeader"><b>
Manage cloud resources, primarily AWS, including architecture design, deployment, monitoring, and cost optimization.</b></h3><h3 class="jobSectionHeader"><b>
Oversee database systems, ensuring high performance, security, and data integrity.</b></h3><h3 class="jobSectionHeader"><b>
Evaluate and implement new technology trends to maintain a competitive edge.</b></h3><h3 class="jobSectionHeader"><b>
Collaborate with executive leadership to identify technology needs, budget planning, and project prioritization.</b></h3><h3 class="jobSectionHeader"><b>
Establish and enforce best practices for software development, system security, and data privacy.</b></h3><h3 class="jobSectionHeader"><b>
Manage vendor relationships, negotiate contracts, and oversee third-party technology providers.</b></h3><h3 class="jobSectionHeader"><b>
Oversee disaster recovery and data backup strategies.</b></h3><h3 class="jobSectionHeader"><b>
Ensure compliance with relevant legal and regulatory standards related to technology and data security.</b></h3><h3 class="jobSectionHeader"><b>
Provide technical guidance and support for critical projects and initiative.</b></h3><h3 class="jobSectionHeader"><b>
Qualifications:</b></h3><h3 class="jobSectionHeader"><b>
Minimum 20 years of progressive experience in IT/Technology leadership roles.</b></h3><h3 class="jobSectionHeader"><b>
Extensive hands-on experience with .NET frameworks and application development.</b></h3><h3 class="jobSectionHeader"><b>
Strong understanding of database management systems (SQL Server, Oracle, or others).</b></h3><h3 class="jobSectionHeader"><b>
Proven expertise in cloud architecture and services within AWS ecosystem (EC2, S3, RDS, Lambda, CloudFormation, etc.).</b></h3><h3 class="jobSectionHeader"><b>
Demonstrated leadership in managing large, complex technology teams and projects.</b></h3><h3 class="jobSectionHeader"><b>
Experience in enterprise architecture, software development lifecycle, and agile methodologies.</b></h3><h3 class="jobSectionHeader"><b>
Solid understanding of cybersecurity principles, data privacy regulations, and compliance requirements.</b></h3><h3 class="jobSectionHeader"><b>
Strong strategic thinking, problem-solving, and decision-making skills.</b></h3><h3 class="jobSectionHeader"><b>
Excellent communication, negotiation, and stakeholder management abilities.</b></h3><h3 class="jobSectionHeader"><b>
Bachelor's degree in Computer Science, Information Technology, or related field; advanced degrees preferred.</b></h3><h3 class="jobSectionHeader"><b>
Preferred Skills:</b></h3><h3 class="jobSectionHeader"><b>
Certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or similar.</b></h3><h3 class="jobSectionHeader"><b>
Experience with DevOps practices, CI/CD pipelines.</b></h3><h3 class="jobSectionHeader"><b>
Knowledge of other programming languages and frameworks.</b></h3><h3 class="jobSectionHeader"><b>
Familiarity with modern development tools and project management methodologies.</b></h3><h3 class="jobSectionHeader"><b>
Morningstar is an equal opportunity employer.</b></h3><p></p><p>
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.</p><p></p>
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity</div>

Director Of Technology

Join Morningstar and explore 8   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.