Sr Manager, Analytics Operations Transition Services

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The Sr. Manager Analytics Operations Transition Services is accountable for establishing and running a standardized project-to-operations transition capability for Analytics & AI products. This role partners with development/product teams and operations teams to ensure solutions are operationally ready align to pre-defined architecture and development standards and can be supported at scale through documentation training monitoring alerting and structured hypercare. The role is also responsible for coordinating knowledge transfer (KT) and ensuring frontline support engagement (e.g. BBRC) is planned and enabled as solutions move into steady-state operations.

Key Outcomes (What success looks like)

• A repeatable measurable transition process that moves solutions from project mode to operations mode with clear entry/exit criteria

• Operational readiness verified before handoff (standards met; monitoring/runbooks/escalations in place; KT completed).

• Reduced transition cycle time and fewer production issues driven by incomplete handoffs. (Metrics concepts aligned to cycle time and operational efficiency KPIs)

Core Responsibilities

1) Define and Own the Transition Services Process

• Design document and maintain the end-to-end Service Transition / Transition Services process for Analytics & AI solutions.

• Establish clear stage gates required artifacts and acceptance criteria for transitioning solutions to operations (including readiness KT and hypercare).

• Ensure transition expectations enforce operational readiness and alignment to pre-defined architecture and development standards (and that solutions do not require refactoring to be operable).

2) Coordinate Project-to-Operations Handoffs (Cross-Functional Orchestration)

• Partner with development teams to understand application functionality and architecture identify components/assets to be transitioned define operations needs and plan handoffs.

• Drive cross-team coordination for transition activities (operations development product security validation/quality and support) to ensure readiness and smooth cutover.

• Establish and manage roles & responsibilities post-handover including escalation paths and support ownership.

3) Operational Readiness Runbooks Monitoring and Hypercare

• Ensure required runbooks alerts and operational procedures are created/validated prior to go-live and handoff.

• Define hypercare approach (joint coverage escalation model) during go-live and stabilization to ensure operational continuity.

• Validate monitoring/KPIs and operational health expectations are defined prior to transition including how incidents are detected triaged escalated and resolved.

4) Knowledge Transfer (KT) Documentation and Training Enablement

• Own the KT plan and execution across development and operations teams ensuring complete transfer of documentation operational procedures and support materials including walkthroughs and Q&A

• Ensure operations teams understand key solution components (e.g. access model pipelines to monitor AI agent footprint modules and LLM/model usage) as part of transition readiness.

5) Frontline Support Enablement (BBRC Engagement) & Intake Integration

• Engage frontline support early and ensure appropriate enablement routing and support readiness as solutions become operational.

• Align transition intake with the broader operations workflow and ensure clear traceability across incidents/requests backlog and enhancements.

6) Continuous Improvement Governance and Metrics

• Drive continuous improvement for transition effectiveness using operational metrics (e.g. transition cycle time runbook coverage SLA/MTTR-focused outcomes and backlog/velocity concepts already defined in AO ops materials).

• Partner with governance and technical standards stakeholders to ensure transitioned solutions comply with standards and are supportable long-term.

Qualifications:

• Bachelors or Masters degree in Computer Science Engineering Data Science or a related field.

• 8 years of experience in deploying and managing application and ML models in production environments.

• Lead initiatives related to continuous improvement.

• Works independently. Responsible for the direct management of a cross functional team including results/outcomes

• Strong understanding of LLM and machine learning principles including lifecycle management.

• Strong programming skills in languages such as Python PySpark SQL Bash/PowerShell

• Extensive experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch scikit-learn).

• Proficiency in cloud platforms (e.g. AWS is preferrable Azure Google Cloud) and containerization technologies (e.g. Docker Kubernetes).

• Expertise in CI/CD tools (e.g. Jenkins GitLab CI CircleCI) and version control systems (e.g. Git).

• In-depth knowledge of monitoring and logging tools (e.g. CloudWatch Grafana ELK stack).

• Strong problem-solving skills and the ability to work in a fast-paced collaborative environment.

• Excellent communication skills and the ability to articulate and present complex information clearly and concisely across all levels.

• Ability to demonstrate in-depthknowledge and expertise thereby establishing a strong reputation for themselves and the team.

• Demonstratessophisticated analytical thought usingvarious data sources andinternal/externalenvironment. Understands the broader implicationsof actions and perspective.

Why you should apply

• You will help patients in their fight against serious diseases
• You willbe part ofa company that encourages excellence and innovation respects diversity develops leaders and values its employees.
• Youll get a competitive salary and a great benefits package including but not only an annual bonus pension contribution family health insurance 27 days of annual leave access to BMS Cruiserath on-site gym and life assurance

#LI-Hybrid

If you come across a role that intrigues you but doesnt perfectly line up with your resume we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

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With a single vision as inspiring as Transforming patients lives through science every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture promoting global participation in clinical trials while our shared values of passion innovation urgency accountability inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

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