Data & Analytics Manager

10 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Manager in Data Engineering/ Analytics

You’ll guide teams in building modern data infrastructure through cloud-native platforms and ensure SLAs/KPIs are met for our AMS clients, while empowering consultants to thrive and grow. As a trusted escalation point and practice leader, you'll uphold our high consultancy standards, foster a collaborative team environment, and contribute to strategic business development.


Key Responsibilities:

Project Delivery (Data Engineering Focus)

  • Support end-to-end delivery of data engineering projects (Databricks, Snowflake) —data platforms, pipelines—ensuring they meet commercial, quality, and timing goals.
  • Oversee AMS processes, ensuring all SLAs and KPIs are met or exceeded.
  • Ensure best practices are followed in governance, service delivery, and team leadership.

Consulting Mindset

  • Shape proposals and accelerators in data engineering—e.g., reusable ingestion frameworks, ELT templates, infrastructure-as-code solutions.
  • Act as a strategic partner to clients, advising on data platform strategy, architecture, and modernisation roadmaps.

Client Engagement & Relationship Management

  • Cultivate relationships with data and technology leaders, understanding their strategic data challenges.
  • Guide clients through complex decisions around platform design, tooling selection, and scalability.
  • Translate successful deliveries into ongoing partnerships and multi-phase platform engagements.

Collaboration & teamwork

  • Lead, mentor, and grow a team of data engineers, ensuring continuous professional development and technical excellence.
  • Foster a culture of collaboration, innovation, and accountability.
  • Partner with other practices to deliver integrated, cross-functional solutions.

Operational Excellence

  • Set portfolio-wide KPIs and monitor timing, cost, and quality objectives.
  • Monitor and enforce timing, cost, and quality delivery objectives.
  • Proactively resolve escalations before they affect outcomes.
Requirements

Required Qualifications:

  • Bachelor’s or Master’s in a related technical field.
  • Minimum 10 years of experience as a Manager, Senior Data Consultant or Senior Data Engineer.
  • Knowledge of ITIL and AMS delivery processes.
  • Proven experience in team management and people leadership.
  • Excellent stakeholder and problem-solving abilities
  • Excellent oral and written communication abilities


Preferred Qualifications:

  • Solid understanding of data warehousing, ETL, and data modelling principles.
  • Understanding of data visualization and reporting tools such as Tableau or Power BI.
  • Strong communication skills and the ability to work effectively in a team environment.
Benefits
Everyone who joins our team is treated as a trusted member of the team, not a number. Ultimately your success is our success, so we invest in our People heavily. Here are the top reasons to join us : - Developing you is a key focus - we help you craft your career - Pioneers in Parental Leave benefits - we provide equality in our parental leave for all genders and parental types - Doona Days - additional two days off for your mental health - Fun is an everyday experience - we challenge you in a positive way so you enjoy your growth journey - Competitive Compensation & Pay for Performance - Opportunities to be more for yourself and others

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Mivada

IT Services and IT Consulting

Barangaroo New South Wales

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