A hands-on technical leadership role within the Behavioural team focused on building intelligence layers that turn customer signals into marketing triggers.
Compensation
The base pay range for this position is $147,300 - $192,000 CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
Responsibilities
Shape the Behavioral Platform Architecture: Help define the technical vision, system boundaries, and architecture for services that transform customer activity signals into actionable trigger events.
Lead by Example: Be a hands-on technical leader who contributes directly to high-impact work through design, implementation, code review, debugging, and production support.
Build the Behavioral Decisioning Engine: Design and implement services that detect behavioral patterns across events, correlate signals across time windows, and determine trigger eligibility.
Design Stateful Contact Context: Help architect systems that maintain the short-lived behavioral state and lookback windows needed to evaluate patterns like ‘action without completion,’ multi-event intent signals, and state-change-driven triggers.
Establish a Reusable Pattern Framework: Help build declarative or rule-based capabilities that allow new behavioral triggers to be defined, configured, evaluated, and extended efficiently over time.
The Security Research group is hiring a senior, hands‑on Application Security Researcher to push modern AppSec forward—working with engineers, researchers and AI/data scientists on next‑generation detection, including autonomous, agentic pen‑testing capabilities.
Responsibilities
Push modern AppSec forward
Work with engineers, researchers and AI/data scientists on next‑generation detection
Build and break security solutions
Translate research ideas from prototype to production
Communicate complex attack paths to engineers and product managers
Requirements
M.Sc. in Computer Science, Cyber Security, or a related field
Build and deploy production systems that reason over ontology-grounded rules, axioms, policies, and domain knowledge using symbolic reasoning technologies.
Compensation
Emergence AI offers competitive compensation.
Responsibilities
Build production systems that reason over ontology-grounded rules, axioms, policies, and domain knowledge
Design practical reasoning strategies that tolerate exceptions, inconsistency, and incomplete information
Implement deterministic or formally constrained SQL generation from grounded semantic representations
Build ontology-informed analytical systems for analytics, visualization, BI, root-cause analysis, and excursion detection
Combine symbolic reasoning with trusted statistical, ML, and algorithmic components
Lead the design and delivery of end-to-end data conversion strategy from legacy HR systems to SAP SuccessFactors.
Locations (2)
Plano, Texas, United States
United States
Compensation
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is [120 - 130$ W2 hourly range]. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
Responsibilities
Define the end-to-end data conversion strategy, extraction rules, mapping specs, and cutover plan from Workday to SuccessFactors.
Extract historical and active worker data from Workday using Workday Enterprise Interface Builder (EIB), Report-as-a-Service (RaaS), or WQL (Workday Query Language).
Establish data architecture standards, data security protocols, and compliance controls for candidate and employee records.
Define data cleansing rules, validation scripts, and acceptance criteria in partnership with HR Data Owners.