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Delivery Manager Automation Artificial Intelligence

0 years

5 - 7 Lacs

Posted:4 days ago| Platform: GlassDoor logo

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On-site

Job Type

Part Time

Job Description

Join our Team

About this opportunity


You will be responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics. Moreover, you will provide thought leadership, perform Advanced Statistical Analytics, and build insights into data to deliver to the business substantial insights, identify trends, and measure performance which address business problems. In addition, collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable!


What you will do


1. Engage with Product Line Managers or Strategic Product Managers in support and growth of the portfolio, Interact with partners to publish epic charter, problem definition and success criteria (outcomes) 2. Interact with other automation leaders to improve understanding and finding opportunities for digital improvements in existing implementations Delivery responsibilities 3. Ensure the integrity of the epics/stories and coordinates prioritization. (Effort allocated, Value, partners etc) Validate value proposition from the engagement team. 4. Support ITPOs / product fusion teams in proposals, credentials, use cases and value proposition 5. Assemble project delivery teams, balancing mix and skills of associates to meet delivery needs. Delivery accountability for epics in the area. 6. Product roadmap and feature improvement responsibility for products in the area. 7. Ensure the smooth ongoing delivery with regular status meetings and reports, and by soliciting continuous feedback from partners 8. Ensure governance processes, checklists and processes are followed. Proactive auditing and risk assessment competencies 9. Handle delivery issues and collaborate with peer teams and partners. 10. Supervise the performance of the team, through proactive delivery management, issue partner concern and reporting Support reusable asset creation, process improvements, automation possibilities and support knowledge sharing across multiple initiatives 11. Provide periodic reporting and presentations to leadership team


You will bring

A Master’s or higher degree in Computer Science, Statistics, Mathematics, or related areas Evidence of academic training in Statistics Deep/broad knowledge of machine learning, statistics, optimization, or related field


A genuine interest in new and applied technology and software engineering coupled with a high degree of business understanding Any applied research contributions to the community in terms of technical papers and patents, are encouraged

Why join Ericsson?

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.


Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.


We are committed to providing reasonable accommodations to all individuals participating in the application and interview process. If you need assistance or to request an accommodation due to a disability please reach out to Contact us


We are proud to announce Ericsson India is ranked 19th among all 50 countries and is once again officially Great Place to Work Certified™ in 2024. Every year, more than 10,000 organizations from over 60 countries partner with the Great Place to Work® Institute for assessment, benchmarking and planning actions to strengthen their workplace culture and this Certification acknowledges our employees value their employee experience and our workplace culture.


Primary country and city:
India (IN) || Noida

Req ID: 769691

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