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Overview
Mid-Level

VP - Marketing Analytics

Confirmed live in the last 24 hours

stage

stage

Compensation

$140,000 - $185,000/year

Boston, MA
On-site
Posted April 21, 2026

Job Description

COMPANY OVERVIEW

KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.

Position Overview 

KKR is seeking a Vice President, Marketing Analytics to lead and scale the analytics capabilities of the marketing organization. This individual will serve as a senior analytics partner to marketing leadership, driving data-informed strategy and ensuring marketing investments are aligned to business outcomes, including lead generation, pipeline growth, and revenue impact.

The VP will define and evolve the end-to-end marketing measurement framework, enabling more effective decision-making and performance optimization. This role partners closely with Marketing, Digital, Product, and Data teams to build scalable analytics capabilities and elevate overall marketing effectiveness.

The ideal candidate brings deep experience in multi-channel marketing analytics, including segmentation, attribution, and campaign measurement. This role requires a strategic leader who can set direction, influence senior stakeholders, and prioritize high impact initiatives while driving execution through strong cross-functional collaboration.

 RESPONSIBILITIES 

  • Serve as the strategic lead for marketing analytics, partnering with senior insurance marketing stakeholders to develop data-driven strategies, KPIs, and measurement frameworks
  • Lead full-funnel marketing analytics, connecting campaign performance to conversion, pipeline, and revenue impact
  • Design and analyze multi-channel campaigns (email, web, paid media, events, CRM, sales) to drive ongoing optimization
  • Identify opportunities to improve marketing efficiency and ROI
  • Develop and refine lead scoring models and segmentation strategies to improve targeting and conversion in a B2B context
  • Align with cross-functional teams, including marketing Centers of Excellence, on reporting standards and performance tracking
  • Translate analytics into scalable data requirements in partnership with data engineering teams
  • Drive executive-level reporting and insights, translating complex data into clear, actionable recommendations that inform strategic decisions
  • Build and maintain dashboards to track key marketing metrics and communicate insights
  • Mentor and guide junior team members and contribute to building a high-performing analytics team

QUALIFICATIONS

  • 8-10+ years of experience in marketing analytics, including multi-channel, full-funnel analytics, and B2B marketing analytics (e.g., lead scoring and funnel performance), preferably in insurance or financial services
  • Experience with brand marketing and paid media analytics, including measurement of brand campaigns, media performance, and optimization across paid channels
  • Deep expertise in marketing measurement, attribution, and ROI analysis, with the ability to connect marketing activity to business outcomes
  • Experience with Salesforce CRM, B2B marketing analytics, and marketing automation platforms (e.g., Marketo, Salesforce Marketing Cloud)
  • Strong understanding of web and digital analytics tools (e.g., Google Analytics, Adobe Analytics, or similar platforms)
  • Proficiency in SQL and experience analyzing large datasets from CRM and marketing platforms
  • Experience using Python and working with cloud data platforms such as Snowflake and/or AWS Redshift
  • Experience partnering with data engineering and technology teams to enable scalable analytics solutions
  • Experience with segmentation and customer targeting strategies
  • Strong analytical and problem-solving skills with a demonstrated ability to generate actionable insights
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