Consumer Edge

Data Engineer

• Lead, mentor, and grow a team of data engineers, building a culture of ownership, craft, and continuous improvement
• Own hiring, onboarding, and performance management for the data engineering function
• Act as a technical role model — setting high standards while remaining approachable and supportive
• Own the architecture, reliability, and evolution of our GCP data platform — including BigQuery, Cloud Composer/Airflow, Dataflow, Pub/Sub, and GCS
• Design and maintain robust, scalable pipelines for ingesting, transforming, and serving diverse alternative datasets (web, CPG, transaction data, etc.)
• Drive infrastructure best practices: cost optimisation, observability, incident response, and disaster recovery
• Ensure data security, access controls, and compliance standards appropriate for regulated financial services clients
• Translate business priorities and client requirements into a clear, deliverable technical roadmap
• Partner with data operations, data science, and product teams to accelerate dataset onboarding and expand platform capabilities
• Represent data engineering at the leadership level — contributing to company strategy and advocating for data quality as a core business value

VP Data Engineering

Financial Planning and Analysis

• Own new business pipeline and bookings across the Financial Services division, consistently delivering against monthly/quarterly targets.
• Build a repeatable, scalable acquisition engine that increases market share across priority segments and use cases.
• Translate top-down growth goals into actionable team plans, coverage models, and execution rhythms.
• Lead a team of BDMs and SDRs, setting clear expectations, goals, and accountability.
• Coach individuals on prospecting, discovery, value-based selling, deal strategy, and closing discipline.
• Recruit, onboard, and ramp talent as the team grows; build a performance culture grounded in preparation, learning, and results.
• Establish and enforce a consistent sales methodology (qualification, MEDDICC/MEDDIC-style rigor or similar), and ensure clean CRM hygiene.
• Own pipeline management, forecasting accuracy, and deal inspection, improving predictability and conversion.
• Create structured cadences (weekly pipeline reviews, forecasting calls, call coaching, win/loss reviews) that elevate execution quality.
• Partner with CRO, CMO, and CPO to sharpen positioning, optimize funnel performance, and inform roadmap based on buyer feedback.
• Help rethink pricing and packaging to broaden adoption—especially for mid-market and long-tail FS firms.
• Develop strategies to expand distribution via partnerships, channel motions, ecosystem relationships, and creative GTM plays.
• Segment the FS market to prioritize ICPs and high-probability wedges, then build playbooks for each.
• Track and report performance using metrics across funnel stages (activity → meetings → SQOs → pipeline → bookings).
• Create feedback loops that identify what’s working and what isn’t—then operationalize improvements fast.

VP Data Engineering

Director, Acquisition Sales – Financial Services