Role : Solution Consultant Skill : Kronos consultant Exp : 6 to 11 years JD as below : Role Overview: As a Sr. Solution Consultant , you will play a pivotal role in delivering superior workforce management solutions to our clients. You will be accountable for your own success, utilizing your expert knowledge of workforce management software to design and implement solutions that maximize benefits for our customers. Your superior communication and presentation skills, coupled with your ability to manage complex environments and client relationships, will ensure your success in this role. Key Responsibilities: Requirement Assessment: Conduct workshops with senior members of customer organizations to drive requirement assessments. Solution Design: Architect comprehensive solutions that integrate UKG Pro WFM (Dimensions) with third-party products, ensuring alignment with business goals. • Customization and Integration: Design and implement customizations and integrations to meet specific client needs. Documentation: Collect, analyse, validate, and document business requirements, creating detailed technical specifications for the implementation team. Build and Configuration: Oversee the build and configuration of the system, ensuring adherence to the original design and client requirements. Provide expert knowledge and best practices during the Build phase. Testing Support: Provide guidance and support during the testing phase, including functional testing, integration testing, and user acceptance testing (UAT). Best Practices: Advocate for and implement industry best practices in workforce management, process optimization, and system configuration. Effective Communication: Effectively communicate complex technical concepts to both technical and non-technical stakeholders using use cases, visual diagrams, and process flow charts. Client Management: Foster strong relationships with client Project teams, acting as a trusted advisor and ensuring high levels of client satisfaction. Mentoring: Mentor and provide guidance to team members on advanced modules and solutioning aspects. Travel: Travel up to 25% may be required to meet with clients and support project implementations. Qualifications: Education: Bachelors degree or equivalent in Computer Sciences or a related field. Experience: 6 to 10 yrs years of experience implementing or supporting enterprise software applications and hardware used in web environments (UKG Pro WFM/Workday/Ceridian/Oracle/PeopleSoft/SAP Human Resources/Payroll/Time and Labor). 5+ years of experience in Workforce Management is a must. Relevant experience as a consultant in a similar application environment is desirable. Extensive experience in implementing solutions for medium to large enterprise customers. Skills: o Thorough understanding of business, process, and technology relating to workforce management. Experience with requirement gathering, solution designing, implementing, and configuring UKG Products. Extensive experience on UKG Pro WFM (Dimensions) modules like Time Keeping, Accruals and Leave is a must. Experience on modules like Advanced Scheduling, Forecasting, Attendance and Activities is desirable. Prior experience in supporting functional testing, integration testing, and UAT. Demonstrated track record in delivering quality, on-time technology, and business solutions to a diverse customer base. Solid interpersonal skills to interface with co-workers and customers, managing specific tasks to completion with minimal direction. Excellent verbal and written communication skills.
Responsibilities Lead the development and implementation of advanced machine learning models and statistical analyses to solve complex business problems Collaborate with business stakeholders to understand requirements and translate them into analytical solutions Manage a team of business intelligence experts Work closely together with the technology teams in implementing new techniques into the Bank environments Develop predictive models for risk assessment, fraud detection, customer behavior analysis or forecasting Create and maintain detailed documentation of methodologies, models, and processes Design and build scalable data pipelines and ETL workflows Present findings and recommendations to senior management and stakeholders Monitor model performance and implement improvements as needed Ensure compliance with banking regulations and data governance policies Qualifications Education: Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or related field Professional certifications in relevant technologies or methodologies are a plus Experience: 10+ years of experience in data science, with at least 4 years in the banking/financial services sector Proven track record of successfully implemented machine learning models in production Minimum 3 years of experience managing and leading data science teams Demonstrated experience in building and developing high-performing teams Technical Skills: Advanced knowledge of machine learning algorithms and statistical modeling Strong expertise in Python, R, or similar programming languages Proficiency in SQL and experience with big data technologies (Hadoop, Spark, Databricks) Experience with deep learning frameworks Knowledge of cloud platforms (AWS, Azure, or GCP) Expertise in data visualization tools (Tableau, Power BI, Qlik) Strong understanding of version control systems (Git) Experience with MLOps and model deployments Business Skills: Proven people management and leadership abilities Experience in resource planning and team capacity management Excellent problem-solving and analytical thinking abilities Strong communication and presentation skills Ability to translate complex technical concepts to non-technical stakeholders Experience in agile development methodologies Understanding of banking and financial services domain Domain Knowledge: Understanding of risk management, compliance, products and regulatory requirements in banking Knowledge of financial markets and instruments is a plus