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 7-10 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 Experience building dashboards using Tableau, Power BI, or similar tools Strong communication skills and the ability to work effectively with cross-functional stakeholders Bachelor's degree in Analytics, Statistics, Engineering, Business, or a related field #LI-HYBRID This is the expected annual base salary range for this Boston-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance. Base Salary Range $140,000 — $185,000 USD KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email Benefits@kkr.com . Emails sent for unrelated issues, such as following up on an application, will not receive a response. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access kkr.com because of your disability. You can request reasonable accommodations by sending an email to Benefits@kkr.com . Only emails left for this purpose will be returned. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.

Requirements

Must-haves

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
7-10 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
Experience building dashboards using Tableau, Power BI, or similar tools
Strong communication skills and the ability to work effectively with cross-functional stakeholders
Bachelor's degree in Analytics, Statistics, Engineering, Business, or a related field

Nice-to-haves

None flagged.

Application prep

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