Technical Director - ML & Algorithms

Rocket Software, Inc.; United States; On-site; USD 200,500 - 270,000; Full time

Benefits offered by this job

Unlimited Vacation Time

Health and Wellness coverage

401(k) matching contributions

Tuition Reimbursement

Leadership and skills training opportunities

Job summary

Rocket Software, Inc. is seeking a Senior Technical Leader to enhance their AI strategy by shaping the foundations of machine learning for operational analytics products. This hands-on role requires collaboration across teams and a strong background in ML systems.

The ideal candidate will have over 12 years of experience in software engineering and will lead through technical expertise, offering a competitive salary between $200,500 and $270,000.

Qualifications

• Experience owning and delivering ML or algorithmic systems into production at scale.
• Strong background in large datasets and end-to-end ML system design.
• Experience with analytics databases or in-database ML systems.

Responsibilities

• Define and lead machine learning and algorithmic strategy.
• Architect ML and data processing systems that operate on high-volume operational data.
• Mentor Principal Engineers and senior technical staff.

Skills

Machine Learning

Algorithm Development

Python

Java

Data Processing

Mentoring

Education

12+ years of experience in software engineering or ML systems

PhD in Computer Science or related field

Tools

Spark

Flink

Ray

Job description

It’s fun to work in a company where people truly BELIEVE in what they’re doing! Job Description Summary: Rocket 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. Rocket 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. This 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.

Essential Duties & Responsibilities

• Define and lead Rocket’s machine learning and algorithmic strategy across Infra, App and Data modernization business lines.
• Extend that strategy across Rocket’s enterprise analytics platforms, including in‑database and embedded ML capabilities, to ensure architectural consistency and reuse.
• Act 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.
• Architect 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.
• Design and implement advanced algorithms and statistical models for anomaly detection, pattern analysis, forecasting, optimization, classification, and modernization insights.
• Guide 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.
• Establish ML architectures, technical standards, and best practices that span feature engineering, model training, evaluation, explainability, deployment, and lifecycle management.
• Ensure ML‑driven insights are explainable, inspectable, and aligned with governance and compliance expectations, particularly in regulated and mission‑critical environments.
• Collaborate closely with domain experts in mainframe operations, performance, security, and data platforms to translate deep system knowledge into scalable, data‑driven intelligence.
• Lead across reporting boundaries by influence and technical credibility rather than hierarchy, helping teams solve complex problems at all stages of feature development and delivery.
• Partner with Product and Architecture leadership to shape long‑term strategy for operational analytics, AI‑assisted modernization, and analytics platform evolution.
• Engage with enterprise customers to understand real‑world operational and analytical constraints and validate ML‑driven solutions.
• Mentor Principal Engineers and senior technical staff, raising the bar for ML rigor, systems thinking, and operational relevance across Rocket.
• Contribute internal and external thought leadership on applied ML for mainframe operations, enterprise analytics, and responsible AI.

Required Qualifications

• 12+ years of experience in software engineering, ML systems, or advanced algorithm development.
• Proven experience owning and delivering ML or algorithmic systems into production at scale.
• Strong background in large datasets, distributed processing, and end‑to‑end ML system design.
• Solid coding skills in Python and Java, with foundations in optimization, statistics, and applied mathematics.
• Experience building ML or analytics solutions tied to system behavior, performance, observability, or operational telemetry.
• Demonstrated ability to operate effectively across teams and organizations through technical leadership and influence.
• Track record of mentoring senior technical talent and working as a player‑coach.

Preferred Qualifications

• Strong experience with mainframe systems and data sources such as z/OS, SMF, RMF, Db2, RACF, or mainframe performance analytics.
• Experience with analytics databases or in‑database ML systems, including model training, evaluation, and execution close to data.
• Familiarity with regression, classification, clustering, and time‑series techniques used in production analytics systems.
• Experience designing explainable, auditable, or compliance‑aware ML solutions.
• Familiarity with distributed computing frameworks or ML platforms such as Spark, Flink, Ray, or cloud ML pipelines.
• PhD in Computer Science, Machine Learning, or a related field.
• Publications, patents, or conference contributions in ML, algorithms, systems analytics, or operational monitoring.

Salary

Annual salary range for this position is between $200,500 - $270,000 gross before taxes. #LI-Remote

Benefits

• Unlimited Vacation Time as well as paid holidays and sick time
• Health and Wellness coverage options for Rocketeers and dependents
• Life and disability coverage
• Fidelity 401(k) and Roth Retirement Savings with matching contributions
• Monthly student debt benefit program
• Tuition Reimbursement and Certificate Reimbursement Program opportunities
• Leadership and skills training opportunities

Equal Opportunity Employment Statement

EOE 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. Rocket 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 [e-mail]. We will make a determination on your request for reasonable accommodation on a case‑by‑case basis. As part of our commitment to a safe and trustworthy workplace, we include background and reference checks in our hiring process. 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.