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alliantgroup · 13 hours ago

Solutions Delivery Director

Houston, TX

Full-time

Onsite

Senior Level, Lead/Staff

8+ years exp

alliantgroup is a national premier consulting firm focused on helping businesses transform and thrive through AI-driven solutions. The Solutions Delivery Director will lead cross-functional teams in delivering intelligent automation, advanced analytics, and generative AI projects, ensuring client satisfaction and strong governance throughout the process.

AccountingFinancial ServicesManagement Consulting

H1B Sponsor Likely

Responsibilities

Shape and manage a portfolio of AI initiatives that balance quick wins (automation and analytics) with longer-horizon platform and generative AI capabilities, sequencing use cases by value, feasibility, risk, and data readiness

Establish AI-specific stage gates (use-case intake, data readiness, model readiness, safety/compliance review, deployment, and post-deployment monitoring) and run disciplined governance rituals tailored to ML lifecycle and GenAI evaluation

Translate use cases and SOWs into integrated delivery plans that account for experimentation cycles, model training time, evaluation loops, and integration work, with transparent change control that protects timelines and business value

Serve as the senior delivery leader and trusted advisor to clients, framing AI opportunities and trade-offs in business terms, shaping success metrics (e.g., cost/time savings, revenue uplift, risk/quality improvements), and driving alignment through structured reviews

Ensure solutions meet non-functional requirements for latency, scalability, reliability, and security; guide choices on architectures (data lakehouse, feature store, MLOps platforms, vector databases, RAG pipelines, orchestration frameworks) and integration patterns with enterprise systems

Drive rigorous data profiling, lineage, access controls, and quality baselines; align with governance on PII/PHI handling, consent, retention, and purpose limitation, and ensure training/serving data management is auditable and compliant

Lead teams to deliver robust models and agents with reproducible workflows, CI/CD for ML (feature pipelines, model packaging, automated tests), and deployment to target runtimes (batch, streaming, real-time APIs) with model registry and approval workflows

Institutionalize red-teaming, prompt/guardrail strategies, refusal policies, and automated eval suites (toxicity, bias, hallucination, jailbreak resistance, factuality) with human-in-the-loop processes and content moderation where appropriate

Define quality strategies that include unit/integration tests, data and feature tests, offline and online model evaluation, A/B or shadow testing, performance testing, and post-release SLOs with rollback and fallback mechanisms

Embed responsible AI principles and regulatory requirements (e.g., AI Act, sector regulations) throughout the lifecycle; maintain model cards, decision logs, and audit trails, and ensure explainability, fairness assessments, and incident response readiness

Grow and mentor a blended team of PMs, DS/ML engineers, platform engineers, solution architects, and automation specialists; set expectations for documentation, reproducibility, knowledge sharing, and iterate-with-evidence culture

Ensure accurate estimating that accounts for experimentation and platform costs (compute, storage, model/API usage), manage budgets and cloud spend, and align change control to value realization while partnering with sales on credible AI proposals

Coordinate SI partners and AI vendors (cloud AI services, LLM providers, RPA/iPaaS, vector DBs) with clear SLAs, usage policies, and versioning strategies; manage model/provider selection, contracts, and switching/contingency options

Provide executive reporting on business outcomes and model health (drift, data quality, latency, cost per inference, error rates, user satisfaction), institutionalize post-implementation reviews, and feed learnings back into playbooks and templates

Qualification

AI/ML solution deliveryMLOps proficiencyAgile at scaleCloud data platformsFinancial acumenExecutive communicationProject management certificationSense of urgencyReceptiveness to feedbackInterpersonal skillsEffective communicationCollaboration

Required

Bachelor's or Master's degree required (in Business Administration, Information Technology, or related field)

Proven experience (prefer 8 to 10 years) in solution delivery, professional services, or program management with substantial leadership of AI/ML, intelligent automation, analytics, and/or GenAI initiatives in production

Strong technical fluency across modern AI stacks: cloud data platforms (e.g., Databricks, Snowflake, BigQuery), MLOps (MLflow, SageMaker, Vertex AI, Azure ML), orchestration (airflow/Prefect)), vector stores (Pinecone, FAISS, pgvector), and LLM frameworks (LangChain/Llamalndex/semantic kernels)

Mastery of Agile at scale with AI-specific lifecycle practices (experiment tracking, offline/online evaluation, model versioning), combined with stage-gate controls for compliance and release management

Financial and contractual acumen covering cloud and model API cost dynamics, capacity planning, and ROI modeling for AI use cases

Executive communication skills with the ability to translate AI constraints and risks into clear business options and decisions

Excellent interpersonal skills, with the ability to lead cross-functional teams and foster collaboration among diverse stakeholders

Preferred

Preferred certifications in project/program management (PMP/PMI-ACP), Agile/SAFe, and cloud (AWS/Azure/GCP), plus hands-on familiarity with responsible AI frameworks and security/compliance standards

Preferred experience delivering AI in regulated industries (healthcare, financial services, public sector, life sciences) and in multi-region or global operation models

Effective communication and presentation skills, with experience in conveying technical information to non-technical audiences

Ability to work collaboratively in a fast-paced environment

High sense of urgency with the ability to meet deadlines and changing priorities

Receptiveness to performance feedback within a team environment is essential

Benefits

100% employer paid medical /dental premiums for single coverage for certain options

401(k) matching

PTO

Company provided life insurance and disability

Onsite gym and group exercise classes

Paid covered parking

Daily allowance for onsite café and Starbucks

And more!

Company

alliantgroup

Glassdoor2.7

alliantgroup is the nation's leading tax specialty services provider. alliantgroup helps businesses stay competitive and grow!

Founded in 2002

Houston, Texas, USA

1001-5000 employees

https://www.alliantgroup.com

H1B Sponsorship

alliantgroup 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 (4)

2024 (1)