Blunomy…… from Intention to Impact
Blunomy is an international consulting & data firm, dedicated to accelerating the move towards a regenerative society that is decarbonised, circular and inclusive. We do this by partnering with those in the energy supply chain as well as financial institutions, businesses and entrepreneurs to ensure the transition of their resources from brown to green.
We have been operating since 2007, previously trading as Enea Consulting, and continue to expand our international team of Blunomists. Our high performing, multidisciplinary team are based across 5 offices: Melbourne, Sydney, Singapore, Paris and London. We come from a wide variety of backgrounds and experiences, are open minded and focused on the future, united by shared values and are passionate about sustainable development and energy access.
We are looking for a passionate, engaging, and ambitious Data Team Manager to join our team in either Melbourne or Sydney. We invite all of those who want to break the mould to join us to take it from Intention to Impact!
The Data Team Manager is responsible for leading and developing a Blunomy Data team and for the effective delivery of data, software and digital projects across the business. The role has direct people management responsibility for a small team of Developers and Senior Developers and is accountable for setting clear expectations, reviewing performance, coaching and developing team members, supporting career development and creating a high-performing, collaborative and accountable team environment.
The position has a central role in coordinating Data project delivery. This includes understanding project requirements, allocating people and capability across competing priorities, establishing clear delivery plans, monitoring progress, managing risks and dependencies and ensuring work is delivered to the required quality, timeframe and budget.
The role combines people leadership, project and resource management and technical leadership. The Data Team Manager is expected to have sufficient technical depth to guide Developers, challenge technical approaches and support problem-solving, but the primary focus is on enabling the team to deliver effectively rather than acting as the principal hands-on developer. A key expectation is to develop and embed practical, consistent project management practices across the Data team.
Project & Delivery Management
Manage the day-to-day delivery of Data projects and significant workstreams, with accountability for scope, quality, timelines, resources and delivery risks.
Translate project requirements into clear delivery plans, work packages, milestones, responsibilities and expected outcomes.
Coordinate multiple concurrent projects and priorities, maintaining clear visibility of progress, dependencies, blockers and upcoming delivery requirements.
Monitor delivery against agreed plans and intervene early where scope, quality, timing, resourcing or dependencies are at risk.
Provide clear and regular reporting to the Engineering Manager and relevant stakeholders on project status, resource requirements, risks and decisions required.
Support project sponsors, Product Owners and other project leads with realistic estimates, delivery planning and technical resource requirements.
Resource Planning & Allocation
Allocate Developers and Senior Developers to projects based on project needs, individual capability, capacity and development opportunities.
Balance short-term delivery requirements with sustainable workloads, continuity of project knowledge and longer-term team capability development.
Resolve competing requests for Data team support and recommend priorities or trade-offs to the Engineering Manager and relevant project leaders.
Anticipate resource constraints and identify options including reprioritisation, changes to delivery timing, alternative resourcing or recruitment.
Ensure team members have sufficient context, direction, tools and access to expertise to deliver effectively.
Project Management Practices & Continuous Improvement
Establish consistent approaches to project initiation, scope definition, estimation, work planning, task allocation, milestone tracking, risk management and project close-out.
Introduce practical templates, tools and delivery routines that improve consistency and visibility without creating unnecessary administration.
Establish regular project review and delivery routines that provide early visibility of progress, workload, dependencies and blockers.
Ensure key project decisions, requirements, delivery approaches, lessons learned and reusable processes are documented and accessible.
Review project outcomes and lessons learned and use these to improve future delivery practices and team effectiveness.
Drive greater consistency, predictability and accountability in how data work is scoped, planned, managed and delivered.
Technical Leadership & Quality
Maintain sufficient technical knowledge across Python, React, software development, data engineering and relevant Data team technologies to provide informed leadership and challenge.
Promote the effective and responsible use of AI and emerging technologies within the team, identifying opportunities to improve productivity and quality while ensuring employees maintain the underlying technical knowledge, professional judgement and capability required to independently understand and validate their work.
Act as an escalation point for significant technical problems and ensure the appropriate expertise is engaged to resolve complex issues.
Support Senior Developers to provide day-to-day technical guidance, code review and mentoring to less experienced Developers.
Challenge technical approaches where appropriate and ensure significant decisions consider maintainability, scalability, testing, security, user requirements and delivery constraints.
Promote consistent development, testing, code review, documentation and quality practices across the team.
Work with the Engineering Manager and senior technical staff to ensure project delivery aligns with broader technical standards, architecture and strategy.
People Management & Team Leadership
Directly manage a team of Developers and Senior Developers, providing clear leadership, direction and support.
Set individual objectives, performance expectations and priorities aligned with role requirements, project responsibilities and the Data & Digital capability framework.
Conduct regular one-to-one meetings, performance discussions and formal performance reviews, providing timely and constructive feedback.
Coach and develop team members, identify development needs and create opportunities that build technical, project delivery and professional capability.
Address performance, conduct or capability concerns promptly and appropriately, with support from the Engineering Manager and HR where required.
Support onboarding, probation, career development, retention and succession planning across the team.
Create a collaborative, accountable and psychologically safe team environment where people can raise issues, seek assistance and learn from experience.
Team Capability & Knowledge Management
Understand the capability and development needs across the Data team and maintain plans to strengthen capability over time.
Establish processes for documenting methodologies, technical practices, project experience, les-sons learned and reusable approaches are in place and that knowledge is shared.
Encourage Senior Developers to mentor and develop junior colleagues and to progressively delegate appropriate responsibility.
Facilitate learning sessions, project reviews and other mechanisms for sharing technical and de-livery experience.
Support team members to progressively take greater ownership and make appropriate independent decisions.
Stakeholder & Cross-functional Collaboration
Work closely with the Engineering Manager, Principals, Product Owners, Project Managers, Consultants and other stakeholders to coordinate Data team delivery.
Provide clear information about team capacity, delivery timing, dependencies, priorities and risks and manage stakeholder expectations where priorities compete.
Participate in project and client discussions where Data delivery, resourcing or technical input is required.
Build effective working relationships across the Sydney, Melbourne and wider international Blunomy teams.
Contribute to broader Data & Digital planning, recruitment, team development and continuous improvement initiatives.
