Technical Program Manager – Advanced Analytics Implementation
London - England /
Data & Analytics /
Employee: Full Time
/ Hybrid
Why We Work at Dun & Bradstreet
Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us!
The Role
Our global advanced analytics teams are spread across multiple locations in US, UK, China, Hong Kong, Taiwan and India. You will be based out of our UK location executing a multitude of business solution powered by AI and ML technologies for our UK Market in multiple domains including Finance/Risk, Sales & Marketing and Supply.
While you work on growing the business, you will be a responsible partner in identifying challenges outside of our analytics eco-systems that are dependent on content for our insight accuracy.
You will have complete autonomy in owning and identifying the data lineage for every feature in your deployed models and take appropriate steps in following the Analytics processes towards proactive failure mitigation.
We are looking for a self-motivated Technical Project Manager to join our technical PMO team. You will work alongside an innovative team of data scientists, analytics implementation professionals, and technology teams.
Primary Responsibilities
- Collaborate with Senior Leadership and ‘C’ Level execs on the EU and UKI analytics Strategy
- Collaborate and provide thought leadership towards proactive Model Monitoring and enforce MLOps with modelers.
- Ensure proactive steps taken in deployments to ensure Insight failures surface prior to external decisioning impacts.
- Engage high profile customers to validate and test standard scores against their respective portfolios prior to new standard score launches.
- Engage custom analytics customers and collaborate with modeling teams
- Must design strategic post-implementation plans for model stability and data dependency
- Collaborate with our data science, Implementation, Technology and GTM teams towards deploying new assets into our modern technology eco-systems for customer consumption.
- Collaborate with legal / governance on Insights providing transparency and complete compliance with local laws.
- Collaborate with WWN Partners and senior leadership on pipeline, Insight readiness and prioritization.
- Use your strong technical acumen in advanced AI / ML towards planning and executing efficiently.
- Collaborate with technology on efficiency in delivery mechanisms
- Record, Track and Report on all Advanced Analytics Initiatives
- Collaborate with Technology towards integrating data from diverse sources
- Work closely with Project Sponsor / Business Sponsor / Product Owner to develop detailed project plan and monitor project progress to ensure it stays on track and meets deadlines.
- Report project status to stakeholders and facilitate team-wide communication.
- Support and promote quality assurance goals for projects.
- Participate in continuous process improvement, including quantitative and qualitative analysis, forecast trends, identify and manage risks (knowledge, key person, bandwidth, cost).
- Initiative sizing and budgets
- Should be able to envisage scheduling and sequencing of the projects and project components to maintain a healthy project portfolio pipeline.
- Coach project team for Agile/Scrum methodologies and project management process implementation, actively identifying process gaps and improvement opportunities.
- Ensure repeatable process.
- Ability to proactively identify and eliminate bottlenecks, provide escalation management, and anticipate and make tradeoffs.
- Ensure Jira board accuracy and adherence together with integration with Analytics Tech.
- Prepare and distribute reports for senior management.
- Negotiate conflicting priorities with different stakeholders.
Key Skills
- Strong Technical Understanding of Predictive Analytics, Risk Analytics, Model Validation, Model Monitoring, AI/ML, Data Monitoring. Must possess a high level of collaborative skills combined with relationship building. Must be highly organized with excellent communication and planning skills.
- Tools, Technologies, Algorithms:
- Big Data Technologies and its place in an analytics platform, Analytics tech stacks
- Linear Regression / Logistic Regression / K-Means Clustering / Principal Component Analysis / Support Vector Machines / Artificial Neural Networks / Recurrent Neural Networks / Decision Trees
- Google / AWS Cloud Solutions
- Statistical Programming Languages - Python / R / PySpark
- API Technology
- Data Preparation
- Visualization tools Power BI/Tableau/Looker
- Jira, Strong SQL skills, Advanced Excel
Candidate Profile
- 10+ years of experience in technical project management with a min of 3+ years in managing the planning and execution of complex analytics initiatives
- Proven track record of taking ownership and successfully delivering results in a fast-paced, dynamic environment
- Solid understanding of Agile/Scrum methodologies, Project Management, SDLC, Model Deployments and feature operational essentials, Model building life cycle, Quality Assurance, familiarity with project management tools and bug/issue tracking systems.
- Bachelors / Masters (preferred) in a quantitative discipline, e.g., Mathematics, Statistics, Computer Science, Economics or Operation Research.
- Ability to see the big picture and fine details as per the situation.
- PMP Certification or Scrum Master certification is a plus.
- Excellent verbal, written communication and presentation skills.
