Deputy General Manager-Global HR Analytics,Solution Architect_Pune at Vodafone United States

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SAP SuccessFactors, Employee Central, Talent Modules, Workforce Analytics, Google Cloud Platform, BigQuery, Vertex AI, Dataflow, Machine Learning, Qlik, SAP Analytics Cloud, Data Flows, HR Metrics, People Analytics, Data-Driven Decisions, Analytics Models

Industry

Telecommunications

Description

Join Us About VOIS: VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VOIS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone What you’ll do We are seeking a highly experienced Solutions Architect to lead the design and implementation of end-to-end solutions across Employee Data, HR Dashboards, and People Analytics. This individual will play a key role in integrating data from SAP SuccessFactors into our Google Cloud-based data lake, designing ML-driven analytics models, and enabling data-driven decisions through Qlik dashboards, with a roadmap to transition into SAP Analytics Cloud (SAC). The ideal candidate will have deep expertise in both HR domain and enterprise technology architecture, with the ability to connect business needs with scalable, efficient, and secure data and analytics solutions. Who you are Key accountabilities and decision ownership: Strong expertise in SAP SuccessFactors (Employee Central, Talent modules, Workforce Analytics). Deep understanding of people data models, HR metrics, and employee lifecycle data. Proven experience with Google Cloud Platform, including BigQuery, Vertex AI, Dataflow, etc. Hands-on experience in designing and deploying machine learning models for HR use cases. Experience with Qlik for dashboarding and SAC (SAP Analytics Cloud) is preferred. Lead end-to-end solution design for employee data and people analytics use cases, ensuring alignment with business and IT strategy. Architect data flows from SAP SuccessFactors into the Google Cloud Platform for advanced analytics. Define and implement ML/AI-based models to derive actionable insights on workforce trends, talent, and engagement. Analytics and Dashboard solutions designed on time with thought leadership on end-to-end systems architecture Not a perfect fit? Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity. What's in it for you Last: VOIS Equal Opportunity Employer Commitment India: VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 10 Best Workplaces for Millennials, Equity, and Inclusion, Top 50 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 10th Overall Best Workplaces in India by the Great Place to Work Institute in 2024. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Who we are We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same. Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included. If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance. Together we can.

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Responsibilities

Lead the design and implementation of end-to-end solutions across Employee Data, HR Dashboards, and People Analytics. Integrate data from SAP SuccessFactors into a Google Cloud-based data lake and design ML-driven analytics models.