- Own end-to-end delivery of Data Science, ML, and AI programs — from scoping through production deployment and adoption.
- Build and maintain roadmaps, project plans, milestones, and resourcing across Data Science, Data Engineering, and Business/Operations stakeholders.
- Run Agile ceremonies (planning, reviews, retrospectives) and own program-level risk, dependency, and blocker resolution.
- Translate business priorities into scoped technical deliverables alongside Data Science and Engineering leads.
- Own executive-level status reporting and decision-making forums; manage competing priorities across multiple concurrent programs.
- Partner with Data Scientists and ML Engineers to track model development, validation, deployment, and adoption; support model lifecycle and governance processes.
- Coordinate with Data Engineering on pipelines, cloud infrastructure (Azure, Databricks, Snowflake), and technical readiness ahead of launch.
- Facilitate architecture and technical design reviews — without owning the technical decisions yourself.
- Mentor project managers, scrum masters, and technical leads; establish delivery best practices and program governance across teams.
- 15+ years of experience in Program Management, Technical Project Management, or Product Delivery, including 5+ years specifically managing Data Science, ML, AI, or Analytics programs.
- Working knowledge of the ML lifecycle, predictive analytics, and data engineering concepts — you don't need to build the models, but you need to speak the language fluently with those who do.
- Experience running large, multi-team enterprise technology programs using Agile, Scrum, SAFe, or hybrid delivery methodologies.
- Experience with cloud platforms (Azure, AWS, or GCP) and modern data platforms (Databricks, Snowflake, or equivalent).
- Excellent executive communication and stakeholder management skills, with a proven ability to run multiple concurrent programs in a fast-paced environment.
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field; MBA or Master's in Data Science/Analytics is a plus.
- PMP, PgMP, PMI-ACP, SAFe Agilist, or Scrum Master certification.
- Experience with MLOps and model governance, AI/ML platform rollouts, or data governance and data quality programs.
- Background in optimization/Operations Research-driven programs, supply chain, retail, or logistics.
- Exposure to Generative AI or LLM-driven initiatives.
Skills Required
- 15+ years experience in Program Management, Technical Project Management, or Product Delivery, including 5+ years managing Data Science, ML, AI, or Analytics programs
- Working knowledge of the ML lifecycle, predictive analytics, and data engineering concepts
- Experience running large, multi-team enterprise technology programs using Agile, Scrum, SAFe, or hybrid delivery methodologies
- Experience with cloud platforms (Azure, AWS, or GCP) and modern data platforms (Databricks, Snowflake, or equivalent)
- Excellent executive communication and stakeholder management skills; ability to run multiple concurrent programs in a fast-paced environment
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field; MBA or Master's in Data Science/Analytics is a plus
- PMP, PgMP, PMI-ACP, SAFe Agilist, or Scrum Master certification
- Experience with MLOps and model governance, AI/ML platform rollouts, or data governance and data quality programs
- Background in optimization/Operations Research-driven programs, supply chain, retail, or logistics
- Exposure to Generative AI or LLM-driven initiatives
What We Do
@TechBlocks we power the software defined industries (SDI) of today and tomorrow. We are a software engineering and consulting firm. We build modern digital value chains and businesses reimagined to create frictionless experiences for innovative monetization methods and drive unforeseen efficiencies. We are known to build world class custom platforms and products that are cloud native for some of the worlds largest brands. We are the go to technology partners for born in digital businesses that grew with us from "Concept to Commercialization" and have revenues between $100M - $10B. We help modern businesses transition just from a technology outsourcing mentality to help create globally distributed digital COEs and mature them. Our converged COEs that we create in partnership with our clients help power software factories that are extremely dynamic. We have created modern digital COEs and factories that are created with a single minded goal to future proof our clients businesses. Everything we do is centred around two philosophies and practices - Design Thinking and Lean Engineering. Whether it is building digital commerce platforms, marketplace for worlds largest retailers or smart utilities applications and products or digital health products/platforms that power wearables, patches or devices across healthcare landscape; we do it all with speed and sophistication that is unmatched in the industry
