Head Unit - GTE HCS AI and Automation
Role Description
Manage large delivery teams and stakeholders across the globe based on the OKRs of the business lines.
Manage budgeting, workforce, innovation and organizational transformation.
Define and implement strategic (long term) framework of the team to be in-line with organizational objectives and vision.
Productize service offering and negotiate with stakeholders for transitions of projects/processes.
Contribute to the innovation forums of the organization and bring-in industry standards.
Ensure viable succession pipeline.
Contribute to network and global Business Line value proposition.
Influence and sell BL offering and bring in new business
Influence peers globally (N-/ 3) and upwards in own or business partner's organization.
Accountable for people related objectives in a Sub-Business Line.
Accountable for creating and maintaining Sub-Business Line budgets.
Accountable for deliveries emanating from a Sub-Business Line/tribe.
Create an impact of transformation on the functional scope of a tribe.
Propose innovation, renunciation and simplification.
Establish very high standards of Delivery and inspire Research and upskilling of workforce.
Qualifiers
Proven abstract thinking, motivational skills and passion for transformation
Ability to ideate, strategize and transform at the organizational level
Demonstrate strong networking and solutioning skills to work with business counterparts globally
Expertise in understanding financial models and budgets
Excellent execution rigor and ability to handle ambiguity and deliver towards the organization's vision
Coach to enhance and strengthen team's skills
JD
Technically Handson leader who has very good understanding on AI topics on IT Infrastructure and network side .
Define and own the AI & Automation roadmap for Networking, aligned with enterprise digital transformation goals.
Champion adoption of AIOps, closed-loop automation, and intent-based networking across LAN, WAN, SD-WAN, DC, Cloud, and Security domains.
Act as a thought leader and change agent, influencing senior stakeholders, architects, and operations leaders.
Partner with NOC, NRE, and Engineering teams to shift from reactive to predictive operations.
Reduce MTTR, incident volume, and manual intervention through intelligent automation.
Establish automation KPIs and value metrics, tracking business impact.
Build and mentor a high-performing team of network automation engineers, data scientists, and SREs.
Upskill traditional network engineers in Python, APIs, data analytics, and AI concepts.
Foster a culture of innovation, experimentation, and continuous improvement.
