Mindlance · 2 hours ago
Process Engineering Consultant – Observe‑to‑Agent (O2A) & Product Owner – Observe‑to‑Agent (O2A) Platform:
Charlotte, NC
Contract
Hybrid
Senior Level
$55/hr - $70/hr
6+ years expMindlance is a consulting company in the banking and financial industry, seeking a Process Engineering Consultant and Product Owner for the Observe-to-Agent platform. The roles focus on delivering the O2A lifecycle, enhancing operational efficiency through process intelligence and automation, and leading the strategy for multimodal AI capabilities.
Human Resources
Hiring Manager
Rohit Singh
Responsibilities
Execute all phases of the O2A lifecycle (Observe → Analyze → Optimize → Run)
Configure the Observe Assistant, apply activity tagging, and model persona‑level behaviors
Partner with engineering teams to translate observed workflows into actionable agentic features and automation‑ready requirements
Deploy SKAN.ai agents, configure masking protocols, validate data capture, and ensure strict adherence to governance and privacy standards
Operate and refine the SKAN Digital Twin to observe real‑world workflows, identify inefficiencies, and generate actionable optimization insights
Produce structured process documentation (SOPs) for downstream automation, engineering, and operational teams
Maintain continuous observation cycles, including audit readiness, telemetry accuracy, and logging standards
Define and scale the enterprise Observe capability and its operating model, ensuring consistent, secure deployment with measurable business value across the company
Build and expand the Agentic capability that converts raw video captures into executable agentic workflows/code, driving automation acceleration across operations and enterprise functions
Own the end‑to‑end strategy for Observe, spanning video capture, telemetry ingestion, persona configuration, clickstream processing, and data collection across diverse business domains
Own the product vision, roadmap, and multi‑release plan for the Video‑to‑Code pipeline and broader agent creation ecosystem
Leverage multimodal ingestion, semantic understanding, and hybrid deterministic + LLM architectures aligned with the O2A roadmap
Establish scalable enterprise patterns for video‑to‑API code generation, enabling transformational delivery velocity (e.g., automating 30+ control reviews per quarter)
Partner with COO Technology and SkanAI to define the seamless transition from Observe → Analyze → Optimize → Run, shaping the end‑to‑end value stream from data capture to agent execution
Define compliance, control, and model assurance standards—including PII redaction, safe‑use patterns, and governance workflows
Lead cross‑functional delivery teams—including Data Science, AI Engineering, Skan Configurators, and Platform Engineering—to deliver capabilities such as: Multimodal ingestion, SOP generation, Semantic graph construction, Workflow translation, Agent execution validation, Multi‑agent orchestration
Define quality, governance, and assurance requirements including hallucination controls, SLA breach alerts, execution rollback mechanisms, analyst‑in‑the‑loop checkpoints, and observability (ARIZE, Phoenix, Splunk)
Qualification
Required
6+ years of experience in process engineering, workforce analytics, task mining, automation, or related fields, supported by work experience, training, military service, or education
Strong delivery and project management experience with a track record of managing multi‑persona, multi‑application observation programs
Deep experience in process engineering, operational transformation, or workflow redesign
Proven ability to translate observed tasks into structured SOPs or automation‑ready requirements
7+ years of digital product management experience, or equivalent through professional experience, training, military background, or education
Technical expertise in multimodal machine learning, generative AI workflows, agent architectures, and automation design
Demonstrated ability to define and scale enterprise‑grade AI or automation capabilities
Strong systems‑thinking mindset with the ability to design operationally scalable and compliant AI systems
Proven experience influencing senior leadership and technical teams, shaping strategy and prioritization
Track record of delivering complex AI‑enabled services across multiple engineering organizations
Preferred
Experience collaborating with AI/ML teams or working in AI‑enabled environments
Background in digital twins, productivity analytics, process mining, or task intelligence platforms
Familiarity with tools such as SKAN.ai, clickstream analytics, or observation‑based discovery systems
Ability to work across technical and business teams to drive insight‑rich, outcome‑focused analysis
Company
Mindlance
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services
1001-5000 employees
H1B Sponsorship
Mindlance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (71)
2024 (53)
2023 (37)
2022 (72)
2021 (36)
2020 (40)
Funding
Current Stage
Late StageLeadership Team
R
Rajat Paul Dhall
Co-Founder & Managing Director
V
Vik Kalra
Co-Founder and Managing Director
Recent News
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