Data Engineering Services Manager

Data Engineering Services Manager

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Job Description:

Compute at HPE helps organizations power their edge-to-cloud platform with proven, workload-optimized products, solutions, and services. Our leading supercomputing technologies enable customers to transform and modernize their IT infrastructure, solve complex problems and support new business opportunities with purpose-built infrastructure and software. Join us redefine what’s next for you.

What you'll do:

Job Family Definition (Data Services Engineering – People Manager)
Partners across Server BU to enable AI/Automation projects, working with Hardware / Software Engineering, Product Management, and NPI/Supply Chain organizations.  Defines and integrates critical enterprise data sources that power analytics, AI models, and automation workflows. Leads teams responsible for data pipelines, data products, and governed data services that enable product development, manufacturing, supply chain, and lifecycle operations. Interfaces with data platform teams, application owners, and engineering stakeholders to resolve data quality, availability, lineage, and performance issues. Accountable for sustaining and improving data assets through reliability, scalability, cost optimization, and continuous improvement initiatives. Analyzes data defects, gaps, and anomalies; communicates findings to source-system owners and downstream consumers; and drives corrective actions across processes, systems, and controls.

Management Level Definition
Applies advanced subject-matter expertise in data engineering, analytics platforms, and enterprise integration to manage staff solving common and complex business and technical problems within established governance and security policies. Manages exempt individual contributors and/or supervisors. Accountable for results of major data programs, including cost, delivery, data quality, and people management. Provides direction on data architecture, process improvements, and operating model changes aligned with business strategy and AI/automation roadmaps. Plans, manages, and monitors operational and tactical activities; team work may include strategic initiatives. Recruits, develops, and retains talent. Reports to Director level.

Additional Guidance / Criteria
Manages activities within a single country or sub-region as part of a larger geographic region. Manages typically 8–15 direct reports. Span-of-control guidelines may vary.

Responsibilities

• Provides direct and ongoing leadership for data services and data engineering teams delivering trusted, governed data products and pipelines that support AI/automation, hardware and software engineering, and product management from concept through end of lifecycle.
• Owns headcount, deliverables, schedules, and budgets across multiple concurrent data initiatives; ensures appropriate resource allocation and alignment to program, platform, and organizational roadmaps.
• Defines and monitors data SLAs, quality metrics, and operational KPIs; communicates status, risks, and dependencies to management, program leaders, and stakeholder teams; escalates issues as needed.
• Manages relationships with internal platform teams and external vendors/partners, setting expectations for data quality, security, availability, performance, and cost; ensures effective collaboration across distributed and outsourced resources.
• Proactively identifies and drives opportunities for data standardization, automation, reliability improvements, and cost optimization across pipelines, platforms, and tools.
• Provides people management, including hiring, performance management, coaching, and career development; ensures skills, tooling, and development plans are in place to support scalable data services and long-term capability growth.

What you need to bring:

Education and Experience Required:

• First level university, bachelor's degree or equivalent experience required.
• May have advanced university degree.
• Typically 5 or more years of related work experience, including 2+ years of people management experience.

Knowledge and Skills:

• Strong leadership skills, including coaching, team-building, and conflict resolution.
• Experience managing multidisciplinary engineering teams.
• Technical proficiency in data engineering, software development, hardware systems, and related fields.
• Prior experience within a server business unit or working directly with server products is highly preferred.
• Advanced project management skills including time and risk management, resource prioritization, and project structuring.
• Strong analytical and problem solving skills.
• Ability to manage human capital across geographies to drive workforce development and achieve desired results.
• Strong verbal and written communication skills, including negotiation, presentation, and influence skills.
• dvanced business acumen, technical knowledge, and extensive knowledge in applications and technologies.
• Strong multi-tasking and prioritization skills Strong communication skills (e.g. written, verbal, presentation); mastery in English and local language.
• Good understanding of the company's policies and processes.

Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more}

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

#india

#compute

Job:

Engineering

Job Level:

Manager_1

    

    

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

No Fees Notice & Recruitment Fraud Disclaimer

 

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates.  These scammers often seek to obtain personal information or money from candidates.

 

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.  The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.