Senior Manager of Data Science and Engineering- AI

Job Description

Date: Jul 30, 2019

Ericsson has set up the Global AI Accelerator (GAIA) unit to accelerate our AI and Machine Learning offerings. This central unit is chartered with the responsibility of building a high-end competence center that brings together a team of high-end Data Scientists, Data Engineers, Software Engineers and Machine Learning Architects towards the goal of enhancing Ericsson’s products and services portfolio with AI capabilities.

We are currently looking for a Senior Manager of Data Science and Engineering as part of one of our GAIA units – AINIX (AI-enabled New Initiatives and Cross(x)-Unit Capabilities). The scope of AINIX is executing on initiatives and capabilities that span across units in GAIA and incubate new impactful business and technology initiatives. Key aspect of this is to foster and leverage AI ecosystem (Start-ups, Academia, Technology Leaders, Customers/Industries and Open-Source/De-facto Standards/Initiatives such as LF AI) in Silicon Valley and North America (SV/NA) to create and drive incubation of new products/services and creation of AI capabilities that can span units in GAIA (e.g., Domain-specific Digital Twin, Domain-Specific Knowledge Graph and Reasoning, Capabilities for AI-based real-time decision making and actions for mission-critical cyber-physical systems, Federated AI Marketplaces and Data and Model Marketplaces and Lifecycle Management and domain-centric AI-enabled Security and Privacy, and AI Ethics and Explainability Frameworks). 

This position will report into the Head of Global AI Accelerator (GAIA) AINIX in Silicon Valley (Santa Clara or San Francisco) and be part of the unit’s management team, supporting, driving and leading initiatives towards achieving the goals of the AINIX. As a senior manager of AINIX, this role has leadership scope with strong delivery and execution focus. This individual will also serve as a key member of the AINIX’s Think Tank, formulating its vision, mission, goals and driving day-to-day activities to realize them.

As a senior manager, you will be responsible for cross-geographical teams with cross-functional responsibilities within Ericsson. You will also contribute to secure Ericsson’s technology and business leadership in the AI domain by way of creating differentiating assets as well as driving market-leading products and services. You will teach, coach, challenge and develop individuals, teams, and organizations. You will foster a creative, high-performance and fast learning culture.


  • Contribute to AINIX strategy, plans and Objectives and Key Results (OKRs)
  • Execute on key initiatives and projects to deliver on AINIX OKRs
  • Foster and Interact with SV/NA ecosystem and internal GAIA and other Ericsson teams to define and execute on incubations and cross-unit capabilities projects/initiatives
  • Manage teams (data scientists, data engineers, software engineers) to develop feature roadmaps of Cross-Unit assets/capabilities and incubation projects
  • Adapt and adopt WoW and assets that ties together, operationalizes and exposes AI/ML capabilities for easy consumption across units in GAIA and Ericsson
  • Hire, lead and mentor teams and leaders that develops and assembles these capabilities, in close collaboration with external ecosystem and internal data scientist users/developers 
  • Operations/SRE of these capabilities at early stages in collaboration with infrastructure and platform operations entities in GAIA
  • Participate in building and cultivating relevant external ecosystem and communities
  • Produce software assets, IPR, potentially contribute to open source, and external articles
  • Contribute to internal and external evangelism of Ericsson capability in AI/ML area; blog posts, training, documentation 

Key Qualifications:

  • Bachelors/Masters in Engineering from a global reputed educational institution. MBA or equivalent Post Graduate Diploma would be an added advantage
  • Domain experience in Data Science domain, one or more telecom areas like Radio, Cloud, OSS, BSS, etc.
  • 5-10 years of experience in Software Engineering and Product Development
  • 5-10 years of formal leadership experience and at least 3-5 years of formal 1st line leadership experience
  • Familiarity and understanding of the full Machine Learning development and deployment work-flow
  • Proven track record of having incubated market-leading products and solutions in collaboration with external/internal ecosystems
  • Experience in successfully delivering capabilities/products that spans multiple units
  • Possesses sound technical knowledge across multiple domains and creates plans to align technical strategies with business ambition
  • Strong ability to relate to the big picture and to execute on important details in a pragmatic and result oriented way with ability to challenge when needed
  • Proven ability to act at the strategic and operational levels
  • Strong partnering skills, with the ability to work across all levels of the organization and across multiple countries, effectively collaborating with multiple stakeholders
  • Excellent people management skills to attract motivate and retain talent
  • Excellent communication skills
  • Proven track record of engaging with customers (internal and external)
  • Knowledge of well known business practices in different domains
  • Coaching & Mentoring Skills
  • Negotiation Skills
  • Independent, self-motivated and well organized with an analytical mind
  • Demonstrably trustworthy (thru reference checks)
  • Strong sense of duty and initiative
  • Fluent spoken and written English is a mandatory requirement


Candidates interested in applying – please include the following with your application:

  1. Updated version of your Resume
  2. Your view of the AI Ecosystem/landscape and how you see it can be leveraged for co-creation and collaborative incubation as well as building/executing on cross-unit capabilities – do not exceed 300 words
  3. A succinctly crafted write-up that makes a case for your candidature – do not exceed 500 words


DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Therefore employees assigned may be required to perform additional job tasks required by the manager.


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