At a Glance
- Tasks: Lead AI and data platform initiatives, driving product strategy and development.
- Company: Provectus, a leader in enterprise-grade AI and data solutions.
- Benefits: Remote-friendly culture, competitive salary, and opportunities for professional growth.
- Other info: Join a collaborative team focused on innovation and excellence.
- Why this job: Shape the future of AI while working with cutting-edge technologies.
- Qualifications: 5-7 years in technical product management and strong engineering skills required.
The predicted salary is between 70000 - 90000 £ per year.
About Provectus
At Provectus, we architect enterprise-grade AI and data solutions that transform how organizations leverage their most valuable asset – data. We combine deep technical expertise with strategic product thinking to deliver scalable, production-ready AI systems and modern data platforms.
Who We're Looking For
We're seeking a Senior Technical Product Manager with strong engineering acumen and product leadership experience to drive sophisticated AI and data platform initiatives. You bring the technical depth to engage in architecture discussions, evaluate trade-offs, and make informed decisions about complex system designs – while maintaining focus on business value and user outcomes. You're a technical translator who bridges the gap between possibility and practicality, helping clients navigate the rapidly evolving AI landscape with confidence. Your background allows you to assess technical feasibility, identify risks early, and guide engineering teams toward optimal solutions.
What You Will Do:
- Architect Product Strategy for Technical Platforms: Define product strategy for AI platforms, data infrastructure, and enterprise-scale data migration initiatives. Lead technical product discovery – evaluating emerging technologies (GenAI, Agentic AI, vector databases, streaming architectures) and assessing fit for client use cases. Design solution architectures in collaboration with data architects and engineers, making build-vs-buy decisions and technology stack selections. Develop technical roadmaps balancing innovation, scalability, security, and time-to-value.
- Drive AI/ML Product Development: Own end-to-end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems. Translate business requirements into technical specifications, API contracts, data schemas, and system integration patterns. Guide model selection, evaluation criteria, and deployment strategies for ML models in production environments. Champion MLOps practices including model versioning, monitoring, performance tracking, and continuous improvement loops.
- Manage Complex Data Platform Initiatives: Lead product planning for data lake/lakehouse implementations, warehouse modernizations, and cloud data platform migrations. Define data product requirements including ingestion pipelines, transformation logic, data quality rules, governance policies, and access patterns. Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management. Partner with data engineering teams on performance optimization, cost management, and scalability planning.
- Execute Through Agile Delivery: Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed Features and epic-level stories. Work closely with engineering teams to decompose complex features into incremental releases with clear technical dependencies. Define sprint goals aligned with quarterly objectives and long-term product vision. Balance technical debt management with feature delivery, advocating for enablers and architectural improvements.
- Enable Technical Decision-Making: Conduct technical due diligence, proofs-of-concept, and spike solutions to validate approaches before full investment. Analyze trade-offs between competing technical solutions, considering performance, cost, maintainability, and developer experience. Document technical decisions, architectural decision records (ADRs), and design patterns for knowledge sharing. Communicate technical strategies and recommendations to executive stakeholders with clarity and conviction.
What You Bring:
Required Qualifications: Bachelor's degree in Technology or Business related field (Master's preferred). 5-7+ years of experience in technical product management, solutions architecture, or software engineering. 5+ years in product management roles with demonstrated end-to-end product ownership. 3-5+ years of experience with AI/ML products, Generative AI, or data platform development. 3-5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies. Deep understanding of cloud architectures (AWS, Azure, GCP).
Technical Expertise: AI/GenAI: LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering: ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking. Data Migration: Assessment methodologies, migration patterns, data validation, cutover strategies. Development Practices: API design, microservices, containerization (Docker, Kubernetes), CI/CD pipelines.
Core Competencies: Solution design and technical architecture capabilities. Requirements translation from business needs to technical specifications. Strong analytical thinking and problem-solving in complex technical domains. Exceptional stakeholder management across technical and non-technical audiences. Clear technical communication—documenting complex systems and presenting architectural decisions. Risk identification, dependency mapping, and mitigation planning.
Preferred Qualifications: Prior software development or data engineering experience (3+ years). Background in consulting or professional services, delivering client solutions. Certifications: AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer, Certified Scrum Product Owner.
Personal Attributes: Insatiable curiosity about emerging technologies and a hands-on experimentation mindset. Close attention to detail with quality focus and commitment to technical excellence. Collaborative team player who thrives in cross-functional environments. Adaptable and comfortable navigating ambiguity in fast-paced consulting contexts. Passion for mentoring engineers and elevating technical practices.
Why Join Us:
Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms. Shape how enterprises adopt AI — from strategy to architecture to delivery. Grow within a team building modern AI-delivery practices, tools, and frameworks. Remote-friendly culture with strong engineering, data, and consulting partnerships.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Remote Senior, Principal Technical Solution Owner AI & Data Platforms (Remotely from Europe or UK) in Wigan employer: Provectus
At Provectus, we pride ourselves on being an exceptional employer, offering a remote-friendly culture that fosters collaboration among top-tier engineering teams and innovative AI systems. Our commitment to employee growth is evident through opportunities to shape enterprise AI adoption from strategy to delivery, while our focus on technical excellence ensures that you will be at the forefront of cutting-edge technology in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior, Principal Technical Solution Owner AI & Data Platforms (Remotely from Europe or UK) in Wigan
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We think you need these skills to ace Remote Senior, Principal Technical Solution Owner AI & Data Platforms (Remotely from Europe or UK) in Wigan
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Provectus. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Provectus
✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
