Location Mumbai [hybrid]
Generous Sign-On Bonus available for candidates who are able to join within 1 month of application.
About The Role:
CloudRock is currently recruiting for a
Workday Extend Lead, to join our diverse and talented team. This is a fantastic opportunity to join a leading Workday Partner and achieve Workday certification, whilst enhancing your career by working on Global projects with prestigious multinational customers. We have some of the best Workday talent in the industry and offer the opportunity to work and travel internationally (in the UK & US).
Key Job Responsibilities:
- Lead Workday Extend Development: Oversee the design, development, testing, and implementation of custom Workday Extend applications to meet business requirements.
- Technical Architecture: Define and implement the technical architecture for Workday Extend solutions, ensuring scalability, performance, and integration with other systems. Build strong foundation for workday extend modelling to have a solid app.
- Team Management: Lead and mentor a team of Workday Extend developers, providing guidance, training, and support.
- Business Partnership: Collaborate closely with business stakeholders to understand their needs and translate them into technical requirements.
- Problem Solving: Identify and resolve complex technical issues related to Workday Extend development and implementation.
- Quality Assurance: Ensure the quality and performance of Workday Extend applications through rigorous testing and code reviews.
- Best Practices: Stay up-to-date with Workday Extend best practices and industry trends to optimize development efforts.
- Documentation: Create and maintain comprehensive documentation for Workday Extend applications, including design specifications, user manuals, and troubleshooting guides.
- Change Management: Manage changes to Workday Extend applications, ensuring minimal disruption to business operations.
- AI and ML: Explore and implement AI capabilities within Workday Extend applications, such as predictive analytics, natural language processing, and machine learning APIs from workday AI gateway
Necessary Skills/ Competencies
- Good problem solving and analytical skills, adept at addressing challenges efficiently
- Enthusiastic about mastering additional Workday modules when an opportunity does arise
- Bachelor's degree in a technical, business, or relevant field of study
- Has completed at least 3 end-to-end Workday extend implementation projects or possesses extensive knowledge and experience in modern workday extend scripts (PMD Scripting, JSON, Javascript, Web Services, XML, XSLT).
- Strong understanding of model objects, model business processes and other model components experience of creating a solid data modelling.
- In-depth knowledge of utilizing WQL, GraphQL and RaaS into workday extend applications.
- Has over 5 years of experience in Workday extend implementations
- Good to have Active Workday Extend Certification Should have excellent hands on experience with various Workday Integration technologies like Studio EIB Core connectors PECI PICOF
- Strong understanding of Workday architecture and customization capabilities Extensive knowledge of web service technologies REST SOAP JSON XML and authentication and authorization methods
- OAuth JWT WS Security SAML X 509 etc Excellent verbal and written communication skills to effectively interact with team members and leadership Ability to work independently and as part of a team
- Demonstrates strong analytical and problem-solving skills
- Takes a consultative approach to customer interactions
- Possesses excellent oral and written communication skills
- In-depth knowledge of Workday core modules (HCM, Finance, etc.) and their integration points
- In-depth knowledge of Orchestration for integrations (O4I) and workday studio with hands-on experience
- Demonstrated experience in designing and implementing solutions on the AWS platform, with a strong understanding of AWS services relevant to Workday integration (Lambda, S3, etc.)
- Understanding of AI and ML concepts and workday AI gateway and their application in workday extend apps
- Demonstrated ability to code in some of the following programming languages: Java, .NET, or JavaScript
The Ideal Candidate
- Is a self-starter with a proactive attitude towards learning and taking initiative beyond assigned responsibilities
- Utilizes problem-solving skills, analysis, and sound judgment to make well-considered recommendations leveraging AI and machine learning.
- Exhibits flexibility in adapting work to changing scenarios and leveraging available resources
- Demonstrates effective collaboration skills, embracing diversity, and building consensus towards common objectives
- Experience with Agile development methodologies
We Offer You:- A great environment to learn, develop and be successful in what you do
- Opportunity to support our work with some of the World's most recognisable brands
- Competitive package and hybrid work model
- Travel opportunities for key events
- Career growth opportunities (as we're growing rapidly!)
About CloudRockCloudRock is a leading digital transformation consultancy, headquartered in the UK, with offices in India, US, Portugal & Australia. We have an outstanding reputation within the ERP ecosystem and have some of the best consultants sector. We offer you a competitive total rewards package, continuing education & training (including Certified training), and tremendous potential with a growing worldwide organization.
CloudRock provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, colour, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, pregnancy, childbirth or related medical condition, veteran, marital, parental, citizenship, or domestic partner status, or any other status protected by applicable country, national, federal, state or local law.
CloudRock is committed to a diverse workforce.
DISCLAIMER: Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of CloudRock business units.
