Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the strategy for a cutting-edge data orchestration platform, enhancing enterprise efficiency.
- Company: Join a leading enterprise orchestration company revolutionising workflows with AI-powered solutions.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of data innovation, making a real impact in the tech industry.
- Qualifications: 10+ years in product management with expertise in data orchestration and B2B SaaS.
- Other info: Ideal for those passionate about AI, data management, and driving enterprise success.
The predicted salary is between 72000 - 108000 £ per year.
Our client is the leader in enterprise orchestration. Their AI-powered platform enables enterprise customers to navigate complex workflows in real-time, driving efficiency and streamlining operations by connecting data, processes, applications, and experiences.
As Director Product Manager, you will define and execute the strategy to build a unified platform that seamlessly orchestrates data pipelines for ETL, ELT, and Reverse ETL (data activation)—eliminating the need for fragmented tools and enabling enterprises to move data efficiently across their ecosystem.
Requirements
- Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field. A Master's degree is a plus but not required.
- 10+ years of product management in B2B SaaS environments, specializing in data management, data orchestration, or infrastructure products.
- Proven success in shipping and scaling complex data products with measurable business impact.
- Strong track record in leading cross-functional teams, influencing product strategy, and driving execution in fast-paced environments.
- Deep expertise in ETL, ELT, Reverse ETL, and data activation pipelines.
- Strong understanding of modern data architecture, including data lakes, data warehouses, and structured and semi-structured data processing.
- Experience with data transformation tools (DBT, Coalesce) and orchestration frameworks (Airflow, Dagster) to build scalable pipelines.
- Knowledge of real-time data movement, databases (Oracle, SQL Server, PostgreSQL), and cloud analytics platforms (Snowflake, Databricks, BigQuery).
- Familiarity with emerging data technologies like Open Table Format, Apache Iceberg, and their impact on enterprise data strategies.
- Hands-on experience with data virtualization and analytics platforms (Denodo, Domo) to enable seamless self-service data exploration and analytics.
- Strong background in cloud platforms (AWS, Azure, Google Cloud) and their data ecosystems.
- Experience integrating AI/ML-driven insights into data management products to enhance data quality, lineage tracking, and transformation recommendations.
- Strong understanding of predictive analytics, anomaly detection, and semantic data enrichment for operational intelligence.
- Deep knowledge of data security, compliance, and governance best practices for enterprise data platforms.
- Experience embedding data lineage tracking, data quality validation, and operational analytics as core product functionalities.
- Strong expertise in real-time observability, automation, and performance monitoring for data pipelines.
- Ability to deeply understand customer needs across data engineering, analytics, and business intelligence teams.
- Proven ability to translate complex technical concepts into intuitive, user-friendly product capabilities.
- Skilled at collaborating with engineering, UX, security, legal, and go-to-market teams to drive enterprise adoption.
- Strong ability to use customer research, data analytics, and competitive insights to inform product decisions.
- Experience analyzing large-scale data platforms to optimize usage trends and pipeline performance.
Responsibilities
- Develop and execute the product strategy for a unified data orchestration platform supporting ETL, ELT, and Reverse ETL (data activation) across SaaS, data warehouses, data lakes, and custom sources.
- Define and prioritize built-in transformation capabilities and integrations with tools like DBT and Coalesce to scale ELT pipelines efficiently.
- Ensure seamless data ingestion, movement, and activation across structured, semi-structured, and unstructured data formats.
- Embed data quality, lineage, governance, and operational analytics as core platform features, ensuring enterprises have built-in compliance and data integrity controls.
- Develop native observability and automation tools to monitor pipeline performance, detect anomalies, and proactively enforce data governance policies.
- Ensure the platform meets enterprise security, compliance, and scalability requirements, making it the go-to orchestration solution for large-scale deployments.
- Leverage AI to enhance data classification, transformation recommendations, and self-healing pipelines that minimize operational overhead.
- Integrate predictive analytics and semantic enrichment to automate data mapping, improve pipeline efficiency, and surface actionable insights.
- Work with AI research teams to infuse machine learning into data services, driving continuous optimization and smarter decision-making.
- Architect a self-service data virtualization platform that provides a self-service experience, enabling users to explore and analyze data from third-party apps, data warehouses, data lakes, Workato usage data, and custom datasets in real time.
- Develop interactive dashboards and AI-powered analytics that empower businesses to make data-driven decisions without deep technical expertise.
- Ensure seamless cross-platform data integration to unify enterprise data landscapes and drive deeper insights.
- Collaborate with engineering, UX, and go-to-market teams to ensure seamless feature adoption.
- Act as a thought leader internally and externally, driving customer trust and enterprise adoption.
Director of Product Management employer: CoberonChronos
Contact Detail:
CoberonChronos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Product Management
✨Tip Number 1
Network with professionals in the data management and orchestration space. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what companies like ours are looking for in a Director of Product Management.
✨Tip Number 2
Showcase your expertise in ETL, ELT, and data activation during interviews. Prepare specific examples of how you've successfully managed complex data products and led cross-functional teams. This will demonstrate your ability to drive product strategy and execution effectively.
✨Tip Number 3
Familiarise yourself with the latest data technologies and tools mentioned in the job description, such as DBT, Airflow, and cloud platforms like AWS or Google Cloud. Being well-versed in these technologies will not only boost your confidence but also show us that you're proactive and ready to hit the ground running.
✨Tip Number 4
Prepare to discuss how you would approach building a unified data orchestration platform. Think about the challenges enterprises face with fragmented tools and how your vision can address these issues. This will highlight your strategic thinking and problem-solving skills, which are crucial for this role.
We think you need these skills to ace Director of Product Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product management, especially in B2B SaaS environments. Emphasise your expertise in data orchestration and any relevant tools you've used, such as DBT or Airflow.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate your vision for the role of Director of Product Management. Discuss how your background aligns with the company's needs and how you can contribute to their mission of creating a unified data orchestration platform.
Showcase Relevant Achievements: Include specific examples of past successes in shipping and scaling complex data products. Use metrics to demonstrate the measurable business impact of your work, which will resonate well with the hiring team.
Highlight Leadership Experience: Since this role involves leading cross-functional teams, be sure to highlight your leadership experience. Discuss how you've influenced product strategy and driven execution in fast-paced environments, showcasing your ability to collaborate effectively.
How to prepare for a job interview at CoberonChronos
✨Showcase Your Product Management Experience
Be prepared to discuss your extensive experience in product management, particularly in B2B SaaS environments. Highlight specific examples where you've successfully shipped and scaled complex data products, focusing on measurable business impacts.
✨Demonstrate Technical Expertise
Familiarise yourself with the technical aspects of data orchestration, including ETL, ELT, and Reverse ETL processes. Be ready to explain how you have utilised tools like DBT and Airflow in previous roles, and how they can enhance data pipeline efficiency.
✨Understand Customer Needs
Illustrate your ability to deeply understand customer needs across various teams such as data engineering and analytics. Prepare to share examples of how you've translated complex technical concepts into user-friendly product capabilities that resonate with customers.
✨Prepare for Cross-Functional Collaboration
Since the role involves collaborating with engineering, UX, and go-to-market teams, be ready to discuss your experience in leading cross-functional teams. Share instances where your influence has driven product strategy and execution in fast-paced environments.
