Sustainability Data, Process & Reporting Associate – Global Corporate Sustainability Controllers

This role sits squarely inside the Greenhouse Gas Reporting pillar of BlackRock's Global Corporate Sustainability Controllers team, which means you are effectively a data steward for the firm's own operational emissions. The core responsibility involves gathering, validating and reconciling the underlying data (energy consumption, travel, and similar operational inputs) that feed the firm's GHG inventory, then consolidating it for internal management information and external disclosures. You would also maintain the documentation and control evidence needed for audit readiness and assurance engagements, so accuracy here is not optional.

Beyond the recurring reporting cycle, a substantial part of the role is forward-looking process modernisation. You would be expected to build a detailed mental map of existing data flows, systems and dependencies, spot where manual effort creeps in, and then design and implement automation, workflow changes or technology-enabled solutions that make reporting faster and more scalable.

Longer-term, the objective is to transform how sustainability data moves through the organisation altogether. That means influencing tooling choices, evaluating emerging technologies and AI capabilities, and helping the team move from a hand-assembled reporting process to a governed, repeatable and largely automated one.

The most immediate learning is hands-on depth in GHG accounting and operational emissions reporting within a regulated, assurance-bound environment. This is not a theoretical exposure: you would learn what a real control framework looks like around sustainability data, how assurance providers test it, and where the typical weak points sit in an emissions inventory. That knowledge transfers directly to any future ESG controller or reporting role.

Because the mandate explicitly includes process redesign, you would likely gain significant technical range. Working with Power BI, SQL and AI-enabled tooling on real reporting problems, you would sharpen your ability to translate messy business requirements into working data solutions. The exposure to emerging technologies is framed as an expectation, not a bonus, so there is genuine room to experiment.

Finally, BlackRock is a large, matrixed organisation, so you would develop stakeholder fluency across finance, technology, corporate sustainability and operations. Learning how to move a process change through that many owners is a skill in itself, and one that is steadily valuable as sustainability reporting becomes more entangled with the CFO's world.

The hiring profile points to someone with three to five years in a reporting, controls or assurance environment, ideally financial services, who has already worked with complex datasets and been accountable for the reliability of a number. Experience in GHG accounting or environmental data management is listed, but the deeper signal is comfort with reconciliations, governance frameworks and the discipline of producing defensible numbers under audit pressure.

On the technical side, the expectation is practical rather than exotic: Power BI, SQL and comparable data management or automation tools. An interest in AI models and emerging technology is explicitly valued, so demonstrable curiosity here (a workflow you automated, a model you tested) would carry weight.

Behaviourally, the posting itself is revealing. The emphasis on challenging existing ways of working, balancing operational delivery against longer-term improvement, and proactive problem-solving suggests they want someone who will not simply execute the monthly cycle. A degree at bachelor's or master's level is the formal bar; the differentiator is likely the pairing of genuine sustainability interest with a data person's instinct for inefficiency.

Lead with the intersection rather than either side alone. BlackRock has framed this as a hybrid role, so a CV that reads purely as a reporting controller with no sustainability exposure, or purely as a sustainability enthusiast with no controls background, would undersell it. Pick one or two concrete examples where you improved a reporting process, automated something manual, or strengthened controls around a dataset, and quantify the outcome in time saved, error reduction, or audit comfort.

Prepare for the AI angle seriously. The job description dedicates a full responsibility line to evaluating emerging technologies and AI-enabled capabilities, and BlackRock's own interview guidance asks candidates to present their own thinking rather than AI-generated polish. If you have used AI to solve a data problem, have a genuine, detailed story about it; if you have not, be honest and explain how you would approach it.

In interview, connect your technical work to why emissions data specifically matters. The strongest candidates will articulate that GHG figures underpin external claims and assurance, and that process quality is what makes those claims defensible. Also note the hybrid expectation of at least four days in the Mumbai office, signal that you understand and welcome the in-person apprenticeship model.

This role is almost entirely focused on environmental, operational-scope emissions data, the firm's own footprint rather than the sustainability characteristics of its investment products. That distinction matters: GCSC governs the data behind BlackRock's corporate disclosures, so the focus is Scope 1, Scope 2 and operational Scope 3 categories from facilities, business travel and similar sources.

The governance dimension is equally central. Sustainability reporting requirements are tightening, and assurance over emissions data is becoming more rigorous, so a large share of the role concerns controls, documentation and audit readiness, the unglamorous infrastructure that makes a public decarbonisation commitment credible.

There is also a technology-and-efficiency angle. The team is explicitly trying to make reporting scalable and timely, which means the role touches how sustainability data is architected, accessed and automated across Finance, Technology and Corporate Sustainability. In ESG terms, this is the 'G' and the data-quality backbone sitting underneath the 'E' commitments.

The most obvious tension is the dual mandate. You would be accountable for delivering a live reporting cycle (with deadlines, reconciliations and assurance demands) while simultaneously trying to redesign the very processes you are running. Finding time to improve things without destabilising the current cycle is a real balancing act, and the job description acknowledges it directly.

A second challenge is the state of the data itself. Operational emissions data often originates far from the reporting team, in facilities, travel systems and third-party sources, so completeness and consistency can be genuinely hard to guarantee. Driving quality improvements across data you do not own requires influence rather than authority.

Finally, the field is moving. Reporting standards, assurance expectations and the firm's own disclosure ambitions are all evolving, which means requirements can shift mid-cycle. Someone in this role would likely need to stay comfortable revising scope and process while keeping stakeholders aligned, and to bring technology and finance colleagues along on changes that may feel disruptive to their existing workflows.

A typical day would likely blend recurring reporting work with improvement projects, and the balance probably shifts with where you are in the reporting cycle. Early in a cycle, much of the time goes to data collection and validation, chasing inputs, running reconciliations, checking that figures tie out and that the control evidence is in place. That involves close contact with colleagues across operations, enterprise services and technology who supply or host the underlying data.

Outside the crunch periods, the emphasis tilts towards the modernisation agenda. You might spend a morning mapping an existing data flow, prototyping an automation in Power BI or SQL, or assessing whether a new tool could remove a manual step. Regular touchpoints with the wider GCSC team and with Finance and Technology partners would be routine, since most process changes require agreement from people outside your own team.

Interactions are likely a mix of hands-on data work, stakeholder meetings and documentation. During assurance windows, the rhythm intensifies, with auditors or reviewers asking for evidence and explanations. Variability is real, a compliance deadline or a new reporting requirement can reshape the week quickly.

The function is described as growing and evolving, which is usually a good sign for internal mobility. A strong performer here would likely build a profile as someone who understands both the control environment and the technology stack, a combination that is scarce in sustainability reporting and increasingly in demand as the field professionalises. That could open paths towards more senior controller or reporting-lead roles within GCSC, or into adjacent finance and ESG disclosure functions.

The automation and AI exposure is a deliberate growth lever. Delivering a process improvement that visibly reduces manual effort or strengthens controls gives you a tangible, high-visibility achievement, the kind that gets noticed in a large organisation where it is otherwise easy to be one of thousands.

There is also a broadening opportunity through the stakeholder map. Working across Finance & Strategy, Corporate Sustainability, Technology and Operations gives you a footprint well beyond a single team, which builds the kind of cross-functional network that tends to accelerate later career moves.

The closest relationships would be within the Global Corporate Sustainability Controllers team, particularly the Greenhouse Gas Reporting pillar you sit in: these are the people who share accountability for the inventory and the reporting calendar. Beyond that, Finance & Strategy colleagues are central, since sustainability reporting is increasingly adjacent to financial reporting discipline and controls.

Corporate Sustainability is a key partner on what gets reported and why, while Technology and Operations own much of the infrastructure and data that the reporting depends on. Working across those boundaries is explicitly part of the remit, so relationships there would be collaborative but also require negotiation, most process improvements need their cooperation to land.

Externally, you would likely interact with assurance providers or auditors during review cycles, responding to queries and supplying evidence. Internally, enterprise services functions that supply operational data such as facilities and travel information would be regular points of contact, since data quality at source shapes everything downstream.