Head - Human Capital Technology Solutions

Job Description :

Job Title - Head Human Capital Technology Solutions

Department - Corporate

Base Location - Mumbai

Reports to (Job Title) - Managing Director

About Us :

HR Anexi is a strategic human resource consulting firm partnering with businesses, assisting them with a comprehensive range of HR products and services ranging from the alignment of HR strategy with an overall business strategy to creating policies and process flows to performance management to employee development and engagement. This holistic approach with "a one-stop source" philosophy is perhaps what makes us unique. We are committed to working in collaboration with entrepreneurs forging modern HR practices and tools that contribute critical new insights and business value.

Through our wide-ranging people capability solutions, we have engaged with over 150+ companies in 34 diverse industry sectors since our inception. Over the years we have developed solutions that are people first in its approach and are tech enabled to address people and business strategy in an agile manner. We continue to strengthen our services though best in class offerings to enable organizations unlock the people potential to have sustainable growth.

www.hranexi.com

Purpose of Role/Job Summary :

- HR Technology leader for the organization.

- Will lead the HR technology initiatives to build and scale products that are focused on People productivity solutions and delivered through an integrated technology platform.

- Techno-functional leader of the business who is willing to build and scale the HCM solution and manage P&L for the technology vertical.

Main Duties and Responsibilities :

- Provide overall technical leadership and direction to the organisation and encourage innovation and improvement in the technology and data systems, processes and ways of working to strengthen business processes and client delivery

- Understand people-related business problems and collaborate with product owners and project managers to develop and deploy solutions using technology and data

- Lead effort to collaborate with decision makers, consulting partners and users to define business, financial, operational and technical requirements for product design

- Apply big data and deep learning techniques to extract actionable insights from large-scale, high-dimensional, structured and unstructured data.

- Understand emerging technologies and their impact on building agile Human Capital solutions

- Engage with Business and Consulting leaders in digital transformation efforts with clear focus on data and analytics and its impact on business outcomes

- Understand SaaS and PaaS model to configure and propose product and solutions to meet business needs of effective people management

- Review and analyse the effectiveness and efficiency of existing systems and develop strategies for improving or further leveraging these system

- Lead on the technical aspects for business continuity

Work Experience and Skills :

- 15+ years of professional experience in Product Technology domain, preferably in HR technology with demonstrated capability of product design and digital transformation efforts for organization success.

- Extensive experience in agile delivery management, resource and capacity management both of internal teams and by commissioning external resources and suppliers to build skills and capacity, where needed

- Strong understanding and experience of infrastructure, design and architecture, including hosted applications

- Strong understanding of various HR tech products in the market like Workday, SAP HCM, Success factors, Oracle etc.

- Experience of developing and /or supporting online learning environments and technologies for learning

- Knowledge of data security and various data protection norms

- Strong team player, with the innate ability to build and maintain strong cross-functional relationships.

- Strong business acumen, and strong project manager.

Educational Qualification :

- Bachelor's Degree in Engineering with specialization in Computer Science

- Master's in Data Science / Computer Science or Advance courses in Data Analytics is highly desirable

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