Associate Director

Acuity Knowledge Partners; Gurugram District; Sur place; INR 3 500 000 - 5 500 000; Plein temps

Résumé du poste

Acuity Knowledge Partners is seeking a senior leader to head solutioning for our Private Markets segment, guiding data, AI and consulting initiatives across PE, private credit, secondaries and value creation. You will engage clients, design end-to-end solutions, and drive execution with domain, data, engineering and AI teams.

Responsibilities include leading client discussions, translating investment needs into scalable architectures, prototyping rapidly, and ensuring compliant, explainable

Responsabilités

• Lead real-time solution guidance during client meetings, assessing feasibility, effort, risk for data, digital and AI requirements.
• Translate PE workflow needs (deal screening, IC memo drafting, LP reporting, diligence, financial modelling) into target data architecture and AI use cases.
• Develop rapid prototypes with data engineers and AD&D teams to build sample models or dashboards within one week.
• Co-develop scoped, priced proposals and SOWs combining domain delivery, engineering and AI under one accountability model.
• Define AI applicability, ensuring outputs are decision-ready, explainable and traceable for partners, LPs and auditors.
• Develop reusable solution assets, reference architectures, pricing models and case studies to improve efficiency.
• Provide engineering handovers with client-validated briefs and maintain domain ownership through delivery.
• Support account pursuits with directors and sales across Europe and North America.
• Monitor PE data and AI tooling trends (Snowflake, Databricks, dbt, Airflow, LLMs).
• Coach analysts on solution-led thinking and build a small solutioning pod within the domain team.
• Demonstrate deep Private Markets and Consulting expertise across PE deal lifecycle and related metrics.
• Showcase data and analytics capability across datalakes, warehouses, pipelines, taxonomy, metadata and BI.
• Demonstrate practical AI understanding with LLMs, RAG, and document extraction.
• Adopt a commercially oriented mindset for pricing and proposals, including platform-plus-service models.
• Communicate clearly with structured slides and concise proposals for senior stakeholders.
• Collaborate across domain, engineering, AI and sales teams to influence outcomes.
• Prioritize prototyping over lengthy presentations and navigate ambiguity under tight timelines.
• Demonstrate knowledge of AI capabilities and practical business applications.

Description du poste

8 - 14 Years

Permanent

Job Purpose:-

We are looking for a leader who can lead solutioning for ourPrivate Markets segment, which includes services for corporates operating asportfolio companies owned by Private Equity firms. The role involvesunderstanding client challenges, designing solutions that combine technologyand human expertise, engaging directly with clients, leading conversations, andsupporting the execution of the proposed solutions.

You will serve as a solutions expert, working closely withdomain teams specializing in Private Equity, Private Credit, Secondaries, andValue Creation initiatives aimed at generating alpha for Private Equityinvestments. You will act as the bridge between our clients, subject matterexperts, and our data, engineering, and AI team.

Key Responsibilities:

• Provide real-time solution guidance-Join client meetings with account directors and offer an informed first view onfeasibility, effort, sequencing and risk for data, digital and AI requirementswhile the client is still shaping the need.
• Convert investment needs intosolutions -Translate PE workflows such as deal screening, IC memo drafting, LPreporting, portfolio monitoring, ESG and regulatory reporting workflows.Additionally support workflow closed to Consulting and Corporate strategy needssuch as market and competitive research, due diligence, financial modelling,benchmarking into target data architecture, AI use cases and delivery models,using the 7-step data journey as the guiding framework.
• Deliver rapid prototypes- Work withdata engineers, prototypes and AD&D teams to build a sample data model,pipeline or dashboard using real client data within one week.
• Define scope before the RFP-Co-develop requirements with the client and produce scoped, priced proposals,SOWs and effort estimates that bring together domain delivery, managedservices, engineering and AI under one accountability model.
• Clarify AI applicability - Clearlydefine what AI can and cannot support across IC memos, LP reporting anddiligence, Strategy research, outside in analysis, strategic assessmentworkflow and design human-in-the-loop controls so outputs are decision-ready,explainable and traceable for Partners, LPs and auditors.
• Develop reusable solution assets -Maintain solution patterns, reference architectures, demo environments, pricingmodels and case studies to improve efficiency and reduce the effort requiredfor repeat sales.
• Create clear engineering handovers -Provide engineering teams with client-validated briefs and remain the domainowner through build and managed run to ensure continuity from discussion todelivery.
• Support account pursuits - Partnerwith Directors and Sales on discovery calls, RFP responses, demos and pilotsfor existing PE clients and new logos across Europe and North America.
• Monitor market and technology trends-Track the PE data and AI tooling landscape, including Snowflake, Databricks,dbt, Airflow, data catalogues, DealCloud, CRMs, LLMs and agent platforms, whileunderstanding competitor capabilities and client AI stacks.
• Coach and build capability -Mentoranalysts on solution-led thinking and help establish a small solutioning podwithin the domain team
• PrivateMarkets and Consulting expertise - Strong understandingof the PE deal lifecycle, including fundraising, origination, diligence,execution, portfolio monitoring, compliance and exits, along with keymetrics such as IRR, MOIC, DPI, TVPI, EBITDA bridge and NRR. Along withthis, background in Consulting assignments in digital transformation etcwould be helpful. The potential candidate should be able to engageconfidently with Partners, IR and operating teams.
• Dataand analytics capability - Solid knowledge of datalakes, warehouses, pipelines, data modelling, taxonomy, metadata, lineageand BI. Comfortable reading schemas and SQL queries and translatingarchitecture into simple visual concepts.
• PracticalAI understanding- Working knowledge of LLMs, RAG,agents and document extraction, with the ability to explain where AI isuseful, where it has limits and how it applies in client situations.
• Commercialorientation - Able to estimate effort, shape pricingand write clear proposals, including models beyond FTE-based pricing suchas outcome-based, platform-plus-service and managed-run structures.
• Clearcommunication - Uses plain language, structuredthinking, strong slides and crisp written proposals, with credibility infront of senior client stakeholders.
• Collaborativeexecution - Works effectively across domain,engineering, AI and sales teams, influencing outcomes without relying ondirect authority.
• Actionbias - Prioritizes prototypes over lengthypresentations and is comfortable working through ambiguity under tighttimelines.
• Knowledgeof AI capabilities and practical business applications is a must.

Job Snapshot

Job ID

JOB_8623

Department

Private Markets

Location