Accordion - Senior Director, Data & Analytics Value Creation
Requirements
• Strong understanding of private equity, portfolio company value creation and the sponsor / management team relationship. • Experience working with CFOs, finance leaders, PE operating partners or portfolio company leadership teams. • Strong ability to translate commercial problems into data and analytics solutions. • Experience defining KPI frameworks, management reporting, commercial analytics and performance dashboards. • Strong understanding of value creation levers across revenue, margin, pricing, customer, sales, operations, working capital and cash. • Experience designing or assessing data, technology and AI operating models, including team structures, governance, platforms and ways of working. • Working knowledge of modern data and reporting platforms, such as Power BI, Tableau, Snowflake, Microsoft Fabric, Databricks or similar. • Strong communication skills, with the ability to simplify complexity and tell a clear story from data. • Experience leading client engagements, managing teams and working in a consulting or professional services environment. • Commercial confidence, with the ability to support business development and identify new opportunities. • You Are: • Commercially sharp and comfortable working with senior stakeholders. • Credible with CFOs, private equity investors and portfolio company leadership teams. • Able to connect data, finance and value creation. • Clear, concise and confident in communication. • Pragmatic and delivery-focused. • Comfortable challenging analysis, assumptions and client thinking. • Able to bring structure to ambiguous or messy problems. • Excited by building a growing Data, Analytics & AI practice in London. • Comfortable working in a fast-paced, entrepreneurial consulting environment. • We’re committed to building a team that reflects a broad range of backgrounds, perspectives, and skills. We do not discriminate on the grounds of race, colour, religion, marital status, age, nationality, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, or any other status protected under applicable law. • Please note that, in line with Accordion policy, we do not accept unsolicited CVs from third-party recruitment agencies unless such agencies have been formally engaged to provide candidates for a specified vacancy and in alignment with our inclusive diversity values. Any employment agency, individual, or entity that submits an unsolicited CV does so with the understanding that Accordion reserves the right to hire that applicant at its discretion without any fee owed to the submitting agency, individual, or entity.
Responsibilities
• Client Leadership & Advisory • Lead senior client conversations with private equity sponsors, CFOs, finance leaders and portfolio company management teams. • Act as a day-to-day senior point of contact for clients and sponsors on relevant engagements. • Build trusted relationships with C-suite stakeholders and become viewed as a subject-matter expert in data-led value creation. • Translate business issues into clear data, analytics and reporting requirements. • Help clients understand where data can support value creation, performance improvement, finance transformation and exit readiness. • Lead client insight sessions, workshops and readouts with senior audiences. • Manage client expectations, resolve issues quickly and maintain strong client satisfaction • Value Creation & Analytics • Identify how data and analytics can support value creation plans, including growth, margin improvement, pricing, customer performance, sales effectiveness, working capital, cash and operational performance. • Support clients in developing the target operating model for Data, Tech and AI — covering people, process, platforms and governance — that underpins and accelerates value creation plans. • Define KPI frameworks that connect clearly to management action and investor priorities. • Shape analytics approaches that link data output to business outcomes. • Guide the development of dashboards, management reporting packs, performance views and analytical models. • Challenge whether analysis answers the right commercial question, not just whether it is technically correct. • Turn complex analysis into clear narratives, recommendations and actions. • Take a hands-on role in shaping final client readouts and setting the overarching narrative that connects data, technology and AI to the value creation plan. • Support diligence, post-deal value creation, transformation and exit-related work • Delivery Leadership • Own the quality of client deliverables, actively reviewing outputs before they are shared with Managing Directors, sponsors or clients. • Supervise project plans and take accountability for changes in scope, timeline or delivery approach. • Identify risks, latent issues and information gaps early. • Lead distributed teams across the UK, US and Hyderabad. • Provide clear direction to analysts, engineers, data scientists and consultants. • Act as the bridge between commercial stakeholders and technical delivery teams. • Lead the team through complex or high-risk delivery, ensuring quality, pace and client outcomes are maintained • Business Development • Support Managing Directors in business development and origination activity across the UK and Europe. • Contribute to qualified lead generation, proposal development, account planning and pitch preparation. • Help shape client solutioning, commercials and scope. • Identify follow-on opportunities within existing accounts. • Support cross-sell opportunities across Data, Analytics, AI, Strategic Finance, CFO Tech and Transformation. • Build and nurture relationships with clients, sponsors and relevant market contacts. • Use subject-matter credibility to support deal conversion where needed • People & Practice Development • Coach and mentor junior team members on client communication, commercial insight and PE value creation context. • Set clear expectations for teams and provide regular feedback. • Support internal training, knowledge sharing and practice development. • Contribute to reusable frameworks, tools, accelerators and delivery methods. • Promote a high-performance, collaborative culture across UK, US and Hyderabad teams
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