{"id":3308847,"url":"https://alion.io/job/pmc-ai-and-data-practice-lead","title":"AI and Data Practice Lead","company":{"id":685306,"name":"PMC","domain":"pmc.com","url":"https://alion.io/company/pmc-7","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vadodara, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-10-27T00:11:30Z","employer_posted_date":null,"last_verified_at":"2026-10-27T00:11:30Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Summary Of The Position\n\nWe are seeking an experienced and visionary Practice Lead - AI & Data Engineering to build, scale, and lead our AI and Data Engineering practice as a strategic capability within the organisation.\n\nThe role will define the technical vision, delivery standards, talent strategy, service offerings, and commercial roadmap for the practice. While our current engagements include Microsoft Fabric, Azure AI, GenAI and ML, the role is technology-agnostic and expected to continuously evolve with emerging technologies, market trends, and client needs.\n\nThis is a strategic leadership role combining technical expertise, architecture governance, delivery excellence, people leadership, client advisory, and commercial acumen.\n\nKey Accountabilities\n\nPractice Strategy & Vision\n\nDefine and own the AI, ML and Data Engineering practice roadmap, including technology direction, service offerings, accelerators, and reusable frameworks\nEvaluate emerging cloud and open-source platforms including Azure, AWS, Microsoft Fabric, Databricks, Snowflake, and their AI/ML capabilities\nEstablish the practice as a Centre of Excellence (CoE) for data engineering, analytics enablement, AI/ML development, deployment, and governance\nDevelop reusable accelerators for data engineering and AI/ML use cases, including RAG pipelines, prompt libraries, model templates, feature engineering, and MLOps/LLMOps patterns\nAlign practice strategy with business growth objectives, client needs, and evolving trends such as GenAI and AI-driven decision-making\n\nTechnical Leadership & Architecture Governance\n\nAct as the technical authority across data engineering and AI/ML engagements\nDefine reference architectures, engineering standards, and best practices covering:\nData lakes, lakehouses and data warehouses\nETL/ELT, batch, streaming and real-time pipelines\nData quality, observability, metadata, lineage and governance\nFeature engineering, model development, serving and monitoring\nVector databases, RAG, MCP, LLM and agentic architecture patterns\nMLOps/LLMOps, CI/CD, experiment tracking, model versioning and automated retraining\nResponsible AI, model explainability, fairness and governance\nReview solution designs to ensure scalability, security, performance, maintainability, and reliability\nEnsure strong alignment between data engineering, analytics, and AI/ML initiatives\n\nDelivery Excellence & Quality Assurance\n\nProvide technical oversight across multiple client engagements and ensure consistent delivery quality\nDefine and enforce engineering practices covering coding standards, code reviews, testing, CI/CD, documentation, and knowledge management\nConduct technical health checks and delivery audits to identify risks and improvement opportunities\nPartner with Delivery Managers and Architects to resolve complex technical and delivery challenges\n\nClient Engagement & Pre-Sales Support\n\nAct as a trusted technical advisor to clients on data strategy, AI/ML adoption, modernisation, and platform selection\nSupport pre-sales activities including solutioning, estimations, proposals, client presentations, feasibility assessments, and ROI evaluation\nTranslate business requirements into scalable data and AI/ML architectures and implementation approaches\nHelp clients progress from traditional reporting towards predictive, AI-augmented, and generative AI-driven decision-making\n\nBuild and scale teams across Data Engineering, ML Engineering, Data Science, MLOps, Architecture, and Technical Leadership.\n\nDefine skill matrices, learning paths, and certification plans across data and AI/ML technologies.\n\nMentor senior engineers and data scientists and develop future practice leaders and architects.\n\nTalent Development & Capability Building Foster a culture of engineering excellence, responsible AI, ownership, innovation, and continuous learning.\n\nRequirements\n\nSkills and Experience\n\nCore Experience\n12-15 years of experience across AI, ML, Data Engineering, analytics platforms, or large-scale integration programmes\n5+ years in a senior technical leadership, architecture, or practice-building role\nProven experience building and scaling enterprise-grade data platforms and solutions\nExperience working across multiple client engagements and managing competing priorities\nTechnical Expertise\nStrong hands-on and architectural experience with modern data and AI/ML platforms, including:\nAzure Data Factory and Microsoft Fabric or equivalent platforms\nAzure Machine Learning, Databricks/MLflow, or equivalent ML platforms\nAzure AI Foundry, Azure OpenAI, AI Agents and exposure to Agentic Architecture\nETL/ELT, streaming and event-driven data pipelines\nData lakehouse and warehouse architectures\nFeature engineering, model training/serving and MLOps\nGenAI concepts including LLMs, prompt engineering, RAG, MCP, vector databases, and agentic frameworks\nAI productivity/tooling such as Claude, Microsoft Copilot, or similar\nExperience across cloud platforms; Azure preferred, with AWS/SageMaker exposure being an advantage\nDevOps, CI/CD and Infrastructure-as-Code for data and ML pipelines\nWorking knowledge of Responsible AI, including explainability, bias/fairness, governance, and AI adoption within the SDLC\nLeadership & Business Skills\nStrong stakeholder management and executive communication skills\nAbility to balance technical depth with business and commercial considerations\nStrong strategic thinking with a bias towards execution and measurable outcomes\nAbility to influence and lead across teams without relying solely on formal authority\nStrong client-facing and consultative approach\n\nPersonal Attributes\n\nPassionate about building a world-class, future-ready engineering practice\nTechnology-agnostic, curious, innovative, and forward-thinking\nStrong ownership and accountability for outcomes\nEntrepreneurial mindset with a focus on value creation, scalability, and continuous improvement\nPassionate about developing people and building a culture of technical excellence\n\nBenefits\n\nWe believe joining a company is about more than just taking up a role. At PMC, we're proud of the environment we've built — one where our people are supported, valued, and empowered to grow. Here's what makes us different.\n\nAI-Powered Working: We're embracing AI and our employees have access to AI tools and platforms, with licenses available on request to support deliveries in line with customer requirements. PMC is committed to keeping you equipped with the latest technology to work more efficiently\nLearning and Development: Our people are the driving force and their growth is a priority. All employees have access to our learning platform, and relevant external training and certification are supported too\nCareer Development: Regular career development conversation ensures all employees have clear visibility of all technical, functional, managerial, leadership roles available for future growth\nDiversity, Equity, and Inclusion: We value the experience our diverse workforce brings, and we ensure fairness throughout our employee lifecycle. Everyone is included and can make an impact at PMC\nLife Insurance and Private Health Care: All employees are covered by life insurance from day one and have access to private health insurance through renowned market-leading healthcare providers\nSocial Events: Our social calendar keeps things lively throughout the year, with local festivals, celebrations, company days, networking opportunities, and team lunches. Fun at work is part of our culture\nRecognition: Celebrating success is part of who we are at PMC. Recognizing the achievements of our people and teams matter, so we do it in a range of meaningful ways\nEmployee Wellbeing: Our well-being sessions focuses on overall employee wellbeing i.e. Everything from Financial Planning, Mental Health, Nutrition, Workplace Ergonomics to Yoga. We also have a Comprehensive Employee Assistance Program available to all our employees for any additional support\nCorporate Social Responsibility: Our commitment to CSR includes supporting the Akshar Trust, a school for hearing-impaired children, through IT equipment donations and work","description_format":"text","description_chars":8140,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Health insurance","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Events & Ticketing","Media & Entertainment","Digital Media"],"lifecycle":[{"event":"open","at":"2026-10-27T02:09:45Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":71,"reasons":["seen:3","win:early"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/pmc-ai-and-data-practice-lead","json_url":"https://alion.io/job/pmc-ai-and-data-practice-lead.json","meta":{"generated_at":"2026-10-31T01:13:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1698,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":685306},"rest":"https://alion.io/mcp/rest/get_company?id=685306"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpmc-ai-and-data-practice-lead"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpmc-ai-and-data-practice-lead"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpmc-ai-and-data-practice-lead"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/pmc-ai-and-data-practice-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpmc-ai-and-data-practice-lead"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3308847}},{"tool":"search_jobs","arguments":{"company":"pmc.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3308847},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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