Chapter Lead VI at Deutsche Telekom Group

, , Germany -

Full Time

Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

0.0

Posted On

15 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Product Analytics, Resource Management, Budget Management, Collaboration, Leadership, Skill Development, Process Optimization, Data Literacy, Predictive Analytics, Performance Indicators, Strategic Planning, Team Organization, Training Initiatives, Market Trends, Customer Engagement

Industry

Telecommunications

Description

As a Chapter Lead, you have the personal management responsibility for employees of a large chapter with a heterogeneous skill portfolio OR of a very large chapter with a homogeneous skill portfolio, whose employees usually perform operational, largely standardized tasks, which may also include special and coordination tasks. You are responsible for the technical/skill-related and personnel development of the chapter with comprehensive policy-making authority, including the provision of applications, systems and services You are responsible for a needs-based resource management in consultation with customers including resource steering and prioritization as well as for the utilization of the chapter incl. Optimization of the chapter based on key figures and, if necessary, increase the process efficiency in the task area You ensure a future-oriented and sustainable skill development for all employees in line with the business strategy, taking into account market trends including strategic TWF planning You promote lifelong learning as well as talents an initiate trainings You apply available leadership tools and implement administrative personnel processes and take over the (pre-)selection of personne lYou take over the personnel management of the employees in accordance with the Group Management Principles incl. organization of the team, feedback culture and promotion of motivation, initiative and responsibility of employees You cascade the high-level strategy into you own area and brief an inform staff on general matters You are responsible for budget planning and budget compliance You network and collaborate intensively within the company, group and/or externally Analyze digital products to enhance operational efficiency and customer engagement. End-to-end ownership of data availability and insights generation. Leverage advanced analytics to provide actionable insights and support strategic initiatives. Develop and maintain dashboards and reports to track key performance indicators (KPIs). Integrate advanced analytics into business processes for improved decision-making and strategic planning. Transform the organization's data culture, promote data literacy, and foster a data-driven mindset across teams. You have completed a degree with a focus on Engineering, Math, Computer Science, or Economics or a comparable qualification and already have many years of professional experience in the Product Analytics environment environment. You will also have the following knowledge and skills: Extensive experience in data analytics and driving data-driven decision-making across the organization. Over 10 years of experience in Product Analytics, with a proven track record of delivering impactful results Close collaboration with executives, especially CTIOs, CPOs, and CMOs to align data strategies with business goals. Enhancing product development cycles through predictive analytics and real-time data insights. Long years of experience in the cascading of strategies Many years of experience in networking and collaboration within the company, within the Group and/or externally Excellent knowledge of budget and cost management Excellent knowledge of resource allocation as well as trend scouting and skill management

Responsibilities

As a Chapter Lead, you will manage a large chapter's personnel and technical development, ensuring resource management and optimization based on key figures. You will also analyze digital products to enhance operational efficiency and promote a data-driven culture within the organization.