Associate Director

Job Purpose:-

We are looking for a leader who can lead solutioning for our
Private Markets segment, which includes services for corporates operating as
portfolio companies owned by Private Equity firms. The role involves
understanding client challenges, designing solutions that combine technology
and human expertise, engaging directly with clients, leading conversations, and
supporting the execution of the proposed solutions.

You will serve as a solutions expert, working closely with
domain teams specializing in Private Equity, Private Credit, Secondaries, and
Value Creation initiatives aimed at generating alpha for Private Equity
investments. You will act as the bridge between our clients, subject matter
experts, 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 on
feasibility, effort, sequencing and risk for data, digital and AI requirements
while the client is still shaping the need.

• Convert investment needs into

solutions -Translate PE workflows such as deal screening, IC memo drafting, LP
reporting, portfolio monitoring, ESG and regulatory reporting workflows.
Additionally support workflow closed to Consulting and Corporate strategy needs
such 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 with

data 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, managed
services, engineering and AI under one accountability model.

• Clarify AI applicability - Clearly

define what AI can and cannot support across IC memos, LP reporting and
diligence, Strategy research, outside in analysis, strategic assessment
workflow 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, pricing
models and case studies to improve efficiency and reduce the effort required
for repeat sales.

• Create clear engineering handovers -

Provide engineering teams with client-validated briefs and remain the domain
owner through build and managed run to ensure continuity from discussion to
delivery.

• Support account pursuits - Partner

with Directors and Sales on discovery calls, RFP responses, demos and pilots
for 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, while
understanding competitor capabilities and client AI stacks.
-

• Coach and build capability -Mentor

analysts on solution-led thinking and help establish a small solutioning pod
within the domain team

Key Competencies: -

• **Private

Markets and Consulting expertise –** Strong understanding
of the PE deal lifecycle, including fundraising, origination, diligence,
execution, portfolio monitoring, compliance and exits, along with key
metrics such as IRR, MOIC, DPI, TVPI, EBITDA bridge and NRR. Along with
this, background in Consulting assignments in digital transformation etc
would be helpful. The potential candidate should be able to engage
confidently with Partners, IR and operating teams.

• **Data

and analytics capability - **Solid knowledge of data
lakes, warehouses, pipelines, data modelling, taxonomy, metadata, lineage
and BI. Comfortable reading schemas and SQL queries and translating
architecture into simple visual concepts.

• **Practical

AI understanding- **Working knowledge of LLMs, RAG,
agents and document extraction, with the ability to explain where AI is
useful, where it has limits and how it applies in client situations.

• **Commercial

orientation - **Able to estimate effort, shape pricing
and write clear proposals, including models beyond FTE-based pricing such
as outcome-based, platform-plus-service and managed-run structures.

• **Clear

communication - **Uses plain language, structured
thinking, strong slides and crisp written proposals, with credibility in
front of senior client stakeholders.

• **Collaborative

execution -**Works effectively across domain,
engineering, AI and sales teams, influencing outcomes without relying on
direct authority.

• **Action

bias - **Prioritizes prototypes over lengthy
presentations and is comfortable working through ambiguity under tight
timelines.

• Knowledge

of AI capabilities and practical business applications is a must.