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JMJ Phillip

Head Performance & Prediction Analytics

Career Insights for Analytics Product Manager

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What they do

An Analytics Product Manager is responsible for managing a strategy to develop and/or sell analytical services or analytics products. May involve planning and assisting in the development, marketing and distribution of the product.

$159,041 / year median in Ohio

+8% projected growth

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Job Description

Head - Performance & Prediction Analytics Posted on November 21, 2025 November 21, 2025 by JMJ Phillip We are seeking a Head of Performance & Prediction Analytics to lead the strategic direction and execution of initiatives focused on validating product performance and enhancing energy prediction accuracy. This role oversees advanced analytics, modeling, and field performance programs across global operations. The ideal candidate combines deep technical expertise, leadership experience, and the ability to collaborate across business units to ensure product excellence and reliability. Position Responsibilities Model Development and Analytics Develop and implement models to ensure accurate global prediction capabilities for historical and future products Lead verification and validation of reliability models to improve accuracy and speed of product development Conduct performance analytics, energy prediction, and risk assessment to provide actionable insights for leadership Field Performance Management Establish and maintain global fielded product experience programs to continuously evaluate product performance Operate, maintain, and develop state-of-the-art global field test sites Collaborate with strategic customers, national labs, 3rd party labs, and independent engineers to advance product prediction capabilities Team Leadership and Development Manage a team of subject matter experts in operations, data analytics, and field performance prediction technology Build and maintain a high-performing, global team culture focused on analytics and operational excellence Mentor and develop talent, set expectations, delegate responsibilities, and provide timely feedback Cross-Functional Collaboration Collaborate across R D, manufacturing, and business units to improve product design robustness and adoption Communicate insights and analysis clearly to technical and non-technical stakeholders Lead initiatives to optimize processes and ensure the accuracy of conclusions drawn from analytics Prerequisites Technical bachelor's degree in Engineering, Material Science, or related discipline 15+ years of industrial experience in engineering, volume manufacturing, and process/product improvement 10+ years of experience in statistical analysis, data mining, problem-solving, and engineering leadership 10+ years of technical experience in the PV industry preferred Strong expertise in statistics, modeling, machine learning, and artificial intelligence Certifications (Preferred, but Not Required) Project management, data analytics, or leadership certifications relevant to advanced analytics and technical management What the Role Offers Competitive salary range: $210,000 - $305,000 annually Leadership of a global, high-visibility analytics and product performance function Opportunity to shape predictive modeling, energy analytics, and product reliability strategies Collaboration with cross-functional teams and external industry stakeholders Why Perrysburg? This role offers the chance to lead critical analytics and performance initiatives in a growing and innovative environment. You will have the opportunity to drive global product excellence, advance industry-leading predictive capabilities, and make a significant impact on product adoption and operational efficiency. Upload your resume to Apply • Accepted file types: pdf, doc, docx, txt, Max.
file size:
32 MB. Email • Additional Please add me to your mailing list so I hear about new jobs first I'd like to learn about resume writing and career coaching services from Employment BOOST Get 30 days free on Careerology - the #1 platform for job skills gform.initializeOnLoaded( function() {gformInitSpinner( 5, 'https://jmjphillip.com/wp-content/plugins/gravityforms/images/spinner.svg', true );jQuery('#gform_ajax_frame_5').on('load',function(){var contents = jQuery(this).contents().find('•').html();var is_postback = contents.indexOf('GF_AJAX_POSTBACK') >= 0;if(!is_postback){return;}var form_content = jQuery(this).contents().find('#gform_wrapper_5');var is_confirmation = jQuery(this).contents().find('#gform_confirmation_wrapper_5').length > 0;var is_redirect = contents.indexOf('gformRedirect(){') >= 0;var is_form = form_content.length > 0 ! is_redirect ! is_confirmation;var mt = parseInt(jQuery('html').css('margin-top'), 10) + parseInt(jQuery('body').css('margin-top'), 10) + 100;if(is_form){jQuery('#gform_wrapper_5').html(form_content.html());if(form_content.hasClass('gform_validation_error')){jQuery('#gform_wrapper_5').addClass('gform_validation_error');} else {jQuery('#gform_wrapper_5').removeClass('gform_validation_error');}setTimeout( function() { /• delay the scroll by 50 milliseconds to fix a bug in chrome •/ jQuery(document).scrollTop(jQuery('#gform_wrapper_5').offset().top - mt); }, 50 );if(window['gformInitDatepicker']) {gformInitDatepicker();}if(window['gformInitPriceFields']) {gformInitPriceFields();}var current_page = jQuery('#gform_source_page_number_5').val();gformInitSpinner( 5, 'https://jmjphillip.com/wp-content/plugins/gravityforms/images/spinner.svg', true );jQuery(document).trigger('gform_page_loaded', [5, current_page]);window['gf_submitting_5'] = false;}else if(!is_redirect){var confirmation_content = jQuery(this).contents().find('.GF_AJAX_POSTBACK').html();if(!confirmation_content){confirmation_content = contents;}jQuery('#gform_wrapper_5').replaceWith(confirmation_content);jQuery(document).scrollTop(jQuery('#gf_5').offset().top - mt);jQuery(document).trigger('gform_confirmation_loaded', [5]);window['gf_submitting_5'] = false;wp.a11y.speak(jQuery('#gform_confirmation_message_5').text());}else{jQuery('#gform_5').append(contents);if(window['gformRedirect']) {gformRedirect();}}jQuery(document).trigger("gform_pre_post_render", [{ form
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