{"schemaVersion":"jobsearcher.job.v1","id":"e0a511c9e7a91a3ee56a9e6d","url":"https://jobsearcher.com/jobs/e0a511c9e7a91a3ee56a9e6d","canonicalUrl":"https://jobsearcher.com/jobs/e0a511c9e7a91a3ee56a9e6d","title":"Senior Technical Director - ML & Algorithms","description":"It's fun to work in a company where people truly BELIEVE in what they're doing!\nJob Description Summary:\nRocket Software, a leading provider of enterprise modernization software, is expanding its AI strategy in support of its vision of Modernization Without Disruption. With established offerings such as SmartChat, Anomalytics, and Rocket EVA, Rocket has deep experience applying AI to complex, mission-critical enterprise systems.\nRocket is seeking a Senior Technical Leader to join its AI Center of Excellence (AI COE) and shape the machine learning and algorithmic foundations of its mainframe operational analytics products. The Senior Technical Director for Machine Learning & Algorithms will define and drive how large-scale ML systems and advanced algorithms are applied to mainframe operational data to deliver monitoring, analysis, optimization, risk detection, and modernization insights.\nThis role is deeply grounded in operations and telemetry with a focus on extracting signal from high-volume, high-fidelity sources such as SMF, RMF, log streams, workload metrics, and system events. The role is hands-on and operates as a player-coach, working directly with enterprise teams across the full lifecycle of feature development. The role leads through technical expertise and influence across reporting boundaries and helps establish consistent best practices across Rocket. Come join our team for an opportunity to shape the application of machine learning across Rocket and the broader enterprise modernization landscape.\nEssential Duties & Responsibilities\n\nDefine and lead Rocket's machine learning and algorithmic strategy across Infra, App and Data modernization business lines.\n\nExtend that strategy across Rocket's enterprise analytics platforms, including in-database and embedded ML capabilities, to ensure architectural consistency and reuse.\n\nAct as a hands-on technical leader working with product and engineering teams throughout the full feature lifecycle, from problem framing and model selection to validation, delivery, and operationalization.\n\nArchitect large-scale ML and data processing systems that operate on high-volume operational data, including z/OS telemetry, SMF/RMF records, logs, workload metrics, and enterprise analytics datasets.\n\nDesign and implement advanced algorithms and statistical models for anomaly detection, pattern analysis, forecasting, optimization, classification, and modernization insights.\n\nGuide the use and evolution of in-database ML and analytics capabilities, including regression, classification, clustering, and time-series techniques, ensuring they are applied correctly, efficiently, and at scale.\n\nEstablish ML architectures, technical standards, and best practices that span feature engineering, model training, evaluation, explainability, deployment, and lifecycle management.\n\nEnsure ML-driven insights are explainable, inspectable, and aligned with governance and compliance expectations, particularly in regulated and mission-critical environments.\n\nCollaborate closely with domain experts in mainframe operations, performance, security, and data platforms to translate deep system knowledge into scalable, data-driven intelligence.\n\nLead across reporting boundaries by influence and technical credibility rather than hierarchy, helping teams solve complex problems at all stages of feature development and delivery.\n\nPartner with Product and Architecture leadership to shape long-term strategy for operational analytics, AI-assisted modernization, and analytics platform evolution.\n\nEngage with enterprise customers to understand real-world operational and analytical constraints and validate ML-driven solutions.\n\nMentor Principal Engineers and senior technical staff, raising the bar for ML rigor, systems thinking, and operational relevance across Rocket.\n\nContribute internal and external thought leadership on applied ML for mainframe operations, enterprise analytics, and responsible AI.\n\nRequired Qualifications\n\n12+ years of experience in software engineering, ML systems, or advanced algorithm development.\n\nProven experience owning and delivering ML or algorithmic systems into production at scale.\n\nStrong background in large datasets, distributed processing, and end-to-end ML system design.\n\nSolid coding skills in Python and Java, with foundations in optimization, statistics, and applied mathematics.\n\nExperience building ML or analytics solutions tied to system behavior, performance, observability, or operational telemetry.\n\nDemonstrated ability to operate effectively across teams and organizations through technical leadership and influence.\n\nTrack record of mentoring senior technical talent and working as a player-coach.\n\nPreferred Qualifications\n\nStrong experience with mainframe systems and data sources such as z/OS, SMF, RMF, Db2, RACF, or mainframe performance analytics.\n\nExperience with analytics databases or in-database ML systems, including model training, evaluation, and execution close to data.\n\nFamiliarity with regression, classification, clustering, and time-series techniques used in production analytics systems.\n\nExperience designing explainable, auditable, or compliance-aware ML solutions.\n\nFamiliarity with distributed computing frameworks or ML platforms such as Spark, Flink, Ray, or cloud ML pipelines.\n\nPhD in Computer Science, Machine Learning, or a related field.\n\nPublications, patents, or conference contributions in ML, algorithms, systems analytics, or operational monitoring.#LI-Remote\n\nAnnual salary range for this position is between $200,500.00 - $270,675.00 gross before taxes.\n.\nWhat Rocket Software can offer you in USA:\nUnlimited Vacation Time as well as paid holidays and sick time\nHealth and Wellness coverage options for Rocketeers and dependents\nLife and disability coverage\nFidelity 401(k) and Roth Retirement Savings with matching contributions\nMonthly student debt benefit program\nTuition Reimbursement and Certificate Reimbursement Program opportunities\nLeadership and skills training opportunities\nEOE M/F/Vet/Disability. Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status.\nRocket is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please call: 781-577-4321 or send an email to people@rocketsoftware.com. We will make a determination on your request for reasonable accommodation on a case-by-case basis.\nAs part of our commitment to a safe and trustworthy workplace, we include background and reference checks in our hiring process.\nIt 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.\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!\nCompanies around the world trust Rocket to solve their most complex business challenges by powering their critical infrastructure, business processes, and data. We help extend the value of these assets, enabling our customers to embrace the potential of cloud and mobile computing, advanced analytics, and the innovations of tomorrow. From the clothes we wear to the cars we drive, Rocket solutions power the back-end systems that thousands of brands rely on every day.\nAt Rocket, software is about more than just code-it's about people. We are passionate problem-solvers, working to make a difference for others. Our foundation is built on empathy, humanity, trust, and love, and we strive to embody these core values in everything we do. Whether we're serving our customers, partners, or fellow Rocketeers, we are committed to treating everyone with the respect and care they deserve.\nFounded in 1990, Rocket Software is headquartered in Waltham, Massachusetts, and has 20 offices worldwide, bringing people and technology together to build a better future.","company":"Rocket Software","rawCompany":"rocket software","city":"Columbus","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-04-09T10:10:01.341Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Technical Director - ML & Algorithms","description":"It's fun to work in a company where people truly BELIEVE in what they're doing!\nJob Description Summary:\nRocket Software, a leading provider of enterprise modernization software, is expanding its AI strategy in support of its vision of Modernization Without Disruption. With established offerings such as SmartChat, Anomalytics, and Rocket EVA, Rocket has deep experience applying AI to complex, mission-critical enterprise systems.\nRocket is seeking a Senior Technical Leader to join its AI Center of Excellence (AI COE) and shape the machine learning and algorithmic foundations of its mainframe operational analytics products. The Senior Technical Director for Machine Learning & Algorithms will define and drive how large-scale ML systems and advanced algorithms are applied to mainframe operational data to deliver monitoring, analysis, optimization, risk detection, and modernization insights.\nThis role is deeply grounded in operations and telemetry with a focus on extracting signal from high-volume, high-fidelity sources such as SMF, RMF, log streams, workload metrics, and system events. The role is hands-on and operates as a player-coach, working directly with enterprise teams across the full lifecycle of feature development. The role leads through technical expertise and influence across reporting boundaries and helps establish consistent best practices across Rocket. Come join our team for an opportunity to shape the application of machine learning across Rocket and the broader enterprise modernization landscape.\nEssential Duties & Responsibilities\n\nDefine and lead Rocket's machine learning and algorithmic strategy across Infra, App and Data modernization business lines.\n\nExtend that strategy across Rocket's enterprise analytics platforms, including in-database and embedded ML capabilities, to ensure architectural consistency and reuse.\n\nAct as a hands-on technical leader working with product and engineering teams throughout the full feature lifecycle, from problem framing and model selection to validation, delivery, and operationalization.\n\nArchitect large-scale ML and data processing systems that operate on high-volume operational data, including z/OS telemetry, SMF/RMF records, logs, workload metrics, and enterprise analytics datasets.\n\nDesign and implement advanced algorithms and statistical models for anomaly detection, pattern analysis, forecasting, optimization, classification, and modernization insights.\n\nGuide the use and evolution of in-database ML and analytics capabilities, including regression, classification, clustering, and time-series techniques, ensuring they are applied correctly, efficiently, and at scale.\n\nEstablish ML architectures, technical standards, and best practices that span feature engineering, model training, evaluation, explainability, deployment, and lifecycle management.\n\nEnsure ML-driven insights are explainable, inspectable, and aligned with governance and compliance expectations, particularly in regulated and mission-critical environments.\n\nCollaborate closely with domain experts in mainframe operations, performance, security, and data platforms to translate deep system knowledge into scalable, data-driven intelligence.\n\nLead across reporting boundaries by influence and technical credibility rather than hierarchy, helping teams solve complex problems at all stages of feature development and delivery.\n\nPartner with Product and Architecture leadership to shape long-term strategy for operational analytics, AI-assisted modernization, and analytics platform evolution.\n\nEngage with enterprise customers to understand real-world operational and analytical constraints and validate ML-driven solutions.\n\nMentor Principal Engineers and senior technical staff, raising the bar for ML rigor, systems thinking, and operational relevance across Rocket.\n\nContribute internal and external thought leadership on applied ML for mainframe operations, enterprise analytics, and responsible AI.\n\nRequired Qualifications\n\n12+ years of experience in software engineering, ML systems, or advanced algorithm development.\n\nProven experience owning and delivering ML or algorithmic systems into production at scale.\n\nStrong background in large datasets, distributed processing, and end-to-end ML system design.\n\nSolid coding skills in Python and Java, with foundations in optimization, statistics, and applied mathematics.\n\nExperience building ML or analytics solutions tied to system behavior, performance, observability, or operational telemetry.\n\nDemonstrated ability to operate effectively across teams and organizations through technical leadership and influence.\n\nTrack record of mentoring senior technical talent and working as a player-coach.\n\nPreferred Qualifications\n\nStrong experience with mainframe systems and data sources such as z/OS, SMF, RMF, Db2, RACF, or mainframe performance analytics.\n\nExperience with analytics databases or in-database ML systems, including model training, evaluation, and execution close to data.\n\nFamiliarity with regression, classification, clustering, and time-series techniques used in production analytics systems.\n\nExperience designing explainable, auditable, or compliance-aware ML solutions.\n\nFamiliarity with distributed computing frameworks or ML platforms such as Spark, Flink, Ray, or cloud ML pipelines.\n\nPhD in Computer Science, Machine Learning, or a related field.\n\nPublications, patents, or conference contributions in ML, algorithms, systems analytics, or operational monitoring.#LI-Remote\n\nAnnual salary range for this position is between $200,500.00 - $270,675.00 gross before taxes.\n.\nWhat Rocket Software can offer you in USA:\nUnlimited Vacation Time as well as paid holidays and sick time\nHealth and Wellness coverage options for Rocketeers and dependents\nLife and disability coverage\nFidelity 401(k) and Roth Retirement Savings with matching contributions\nMonthly student debt benefit program\nTuition Reimbursement and Certificate Reimbursement Program opportunities\nLeadership and skills training opportunities\nEOE M/F/Vet/Disability. Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status.\nRocket is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please call: 781-577-4321 or send an email to people@rocketsoftware.com. We will make a determination on your request for reasonable accommodation on a case-by-case basis.\nAs part of our commitment to a safe and trustworthy workplace, we include background and reference checks in our hiring process.\nIt 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.\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!\nCompanies around the world trust Rocket to solve their most complex business challenges by powering their critical infrastructure, business processes, and data. We help extend the value of these assets, enabling our customers to embrace the potential of cloud and mobile computing, advanced analytics, and the innovations of tomorrow. From the clothes we wear to the cars we drive, Rocket solutions power the back-end systems that thousands of brands rely on every day.\nAt Rocket, software is about more than just code-it's about people. We are passionate problem-solvers, working to make a difference for others. Our foundation is built on empathy, humanity, trust, and love, and we strive to embody these core values in everything we do. Whether we're serving our customers, partners, or fellow Rocketeers, we are committed to treating everyone with the respect and care they deserve.\nFounded in 1990, Rocket Software is headquartered in Waltham, Massachusetts, and has 20 offices worldwide, bringing people and technology together to build a better future.","datePosted":"2026-04-09T10:10:01.341Z","dateModified":"2026-04-09T10:10:01.341Z","hiringOrganization":{"@type":"Organization","name":"Rocket Software","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Columbus","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e0a511c9e7a91a3ee56a9e6d"},"url":"https://jobsearcher.com/jobs/e0a511c9e7a91a3ee56a9e6d"}}