What you will do
Product Definition- Define and communicate the vision and roadmap for the data lakehouse and analytics platform;
- Align stakeholders across multiple product lines on shared goals and outcomes;
- Identify opportunities for advanced analytics, reporting, and data monetization;
- Ideate and define approaches encompassing both batch and streaming ETL methods, ensuring flexibility and scalability across data ingestion and transformation;
- Define opportunities to deliver valuable insights through the use of AI and other analytical tools. Execution & Delivery
- Translate business needs into detailed requirements and user stories for engineering teams;
- Prioritize backlog items to maximize impact across four product lines;
- Lead the product development lifecycle—from discovery and MVP definition through launch and iteration;
- Ensure the platform supports both batch and real-time (streaming) data pipelines, accounting for performance and scalability requirements. Collaboration & Stakeholder Management
- Work closely with engineering, data engineering, and BI teams to deliver scalable, secure, and performant data solutions;
- Partner with product line leaders to ensure the platform meets cross-functional needs;
- Serve as the primary point of contact for internal and external stakeholders regarding platform capabilities. Measurement & Improvement
- Define and track KPIs to measure platform adoption, performance, and business value;
- Drive continuous improvement through user feedback, analytics, and market research.
Must haves
- 3+ years managing data analytics, BI, or data platform projects as a Product Manager (or equivalent role);
- 2+ years working directly in agile scrum teams with hands-on involvement in sprint cycles and backlog grooming;
- Proven ability to deliver outcomes in a cross-functional, matrixed organization;
- Proven track record of leading cross-functional teams in building and launching complex data products;
- Familiarity with modern data architectures (data warehouses, lakehouses, batch and streaming ETL/ELT pipelines);
- Experience with business intelligence, reporting, and data visualization tools (e.g., Amazon QuickSight, Apache Superset, Tableau, Power BI);
- Familiarity with LLM, ML, and other AI capabilities;
- Strong stakeholder management and communication skills—able to balance the needs of multiple product lines;
- Analytical mindset with the ability to translate data into actionable insights;
- Comfortable working in fast-paced, ambiguous, greenfield environments;
- Business Analysis Expertise: Strong experience writing use cases, user stories, and business requirements for technology projects;
- Communication & Persuasion: Skilled in aligning diverse stakeholder groups and facilitating consensus through data, empathy, and influence;
- Time Management: Highly organized, with a bias for action and ability to manage competing priorities under tight timelines;
- Problem Solving: Comfortable navigating complex systems, ambiguity, and legacy constraints to craft practical, user-centric solutions;
- Detail-Oriented Execution: Able to track dependencies, manage scope, and avoid rework through disciplined execution and documentation;
- English: Upper-intermediate level.
Nice to haves
- Bachelor’s degree in Business, Computer Science, Information Systems, or related field;
- Experience with modern product tools (e.g., Jira, Confluence, Figma, Miro);
- Familiarity with enterprise architecture concepts and system modernization efforts;
- Experience with cloud-based data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift);
- Background in SaaS, enterprise software, or multi-product organizations;
- Knowledge of machine learning and predictive analytics use cases;
- Technical proficiency in SQL or data querying to support product discovery;
- Familiarity with columnar data formats such as Parquet, and query engines like Amazon Athena and Apache Trino;
- Experience with or understanding of BI and data visualization tools used for customer-facing analytics and internal insights (e.g., Amazon QuickSight, Apache Superset).
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you! 🙂
About the project
The benefits of joining us
Professional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Your AgileEngine journey starts here
2 min
Tell us about yourself
2 sec
Confirm requirements
30 - 60 min
Pass a short test
5 min
Record a short video
→ Introduce yourself on a video, instead of waiting for an interview
Live interview
Ace the technical interview with our team
→ Schedule a call yourself right away after your video is reviewed
Live interview
Final interview with your team
→ Get to know the team you will be working with
Get an offer
As quick as possible
