SAP Engineer with AI Adoption Focus Job at Sigma Software Group

SAP SuccessFactors Solutions Lead

SAP SuccessFactors Solutions Lead - Alpharetta, GA Here at Avanos Medical, we p...

Location

United States , Alpharetta

Salary:

Not provided

Avanos

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, Computer Information Systems, Business, Management, Engineering, or a related field
6+ years of progressive SAP SuccessFactors / SuccessFactors experience, with a focus on functional-technical delivery and product leadership
Deep hands-on expertise with SAP SuccessFactors Employee Central
Understanding of SAP S/4HANA Payroll and payroll-to-FI integration
Proven experience designing secure, end-to-end SuccessFactors solution architectures
Integration expertise with SAP BTP and Cloud Platform Integration (CPI)
Working knowledge of AI and generative AI technologies, with practical understanding of how AI copilots and assistants (such as SAP Joule) can be applied to HR and enterprise use cases
Strong understanding of HR data models, roles, permissions, and compliance frameworks (RBP, GDPR, SOX)
Experience managing enterprise applications across SuccessFactors, SaaS, and cloud platforms
Demonstrated leadership governing internal teams, third-party integrators, consultants, and vendors

Job Responsibility

Lead end-to-end solution architecture across the SAP SuccessFactors landscape, translating complex business requirements into scalable technical designs that span SuccessFactors, SAP ECP Payroll, AI copilots, and integrated systems
Provide hands-on leadership in building, configuring, testing, and deploying complex SAP SuccessFactors Employee Central solutions, including advanced programming, configuration, and release management for fixes and version updates
Support SAP ECP Payroll integrations, payroll-to-Finance integration, and enterprise integrations built on SAP BTP and Cloud Platform Integration (CPI)
Lead the evaluation, design, and deployment of AI capabilities within the SuccessFactors landscape, including SAP Joule and SAP Business AI use cases for HR
Stay ahead of the evolving SAP SuccessFactors roadmap, including advances in AI, machine learning, conversational interfaces, and agentic workflows
Design and govern role-based permissions (RBP), data privacy safeguards, and controls that ensure compliance with GDPR, SOX, AI governance standards, and other regulatory requirements across the SuccessFactors ecosystem
Partner with HR COEs and business leaders to shape the SuccessFactors product strategy, define the multi-year roadmap, and prioritize investments
Serve as the primary technical partner to HR and IT leadership
manage relationships with SAP and other software vendors, system integrators, and consulting partners
Lead triage and prioritization of incoming incidents, service requests, and enhancements

What we offer

Generous 401(k) employer match of 100% of each pretax dollar you contribute on the first 4% and 50% of the next 2% of pay contributed with immediate vesting
benefits on day 1
free onsite gym
onsite cafeteria
HQ region voted 'best place to live' by USA Today
uncapped sales commissions

Fulltime

Senior Manager, Customer Experience (CX) Technology Engineering

In this role, you will lead the engineering execution, governance, and operation...

Location

United States

Salary:

Not provided

Valvoline Global

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, or equivalent, Engineering, Information Systems, or related field
10+ years of experience in enterprise application engineering, platform engineering, or solution delivery
5+ years of leadership experience managing engineering teams within large, complex organizations
Proven experience leading globally distributed engineering organizations
Strong experience across Salesforce ecosystems and enterprise integration architectures
Experience supporting large-scale enterprise transformation initiatives
Experience with CI/CD, DevOps practices, release governance, and enterprise delivery models
Strong stakeholder communication and cross-functional leadership skills
Salesforce platform engineering and architecture
Salesforce APIs and integration patterns

Job Responsibility

Lead the engineering delivery organization supporting Salesforce, SAP Commerce Cloud, integrations, and related CX tools and systems
Establish and enforce engineering standards, release governance processes, and technical quality expectations across global delivery teams
Drive engineering execution across large-scale, multi-region initiatives and enterprise transformation programs
Partner with Enterprise Architecture to ensure alignment with enterprise technology standards, security requirements, and architectural patterns
Govern platform scalability, resiliency, maintainability, and operational sustainability
Lead technical design reviews, architecture governance checkpoints, and engineering risk assessments
Provide technical feasibility analysis, engineering estimates, and delivery impact assessments
Define and maintain platform engineering roadmaps focused on modernization, scalability, resiliency, and operational maturity
Drive technical debt reduction strategies and platform health improvement initiatives
Establish engineering best practices across CI/CD, DevOps, release management, environment strategy, observability, and quality engineering

Senior Manager, Customer Experience (CX) Technology Engineering

In this role, you will lead the engineering execution, governance, and operation...

Location

United States

Salary:

Not provided

Valvoline

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, or equivalent, Engineering, Information Systems, or related field
10+ years of experience in enterprise application engineering, platform engineering, or solution delivery
5+ years of leadership experience managing engineering teams within large, complex organizations
Proven experience leading globally distributed engineering organizations
Strong experience across Salesforce ecosystems and enterprise integration architectures
Experience supporting large-scale enterprise transformation initiatives
Experience with CI/CD, DevOps practices, release governance, and enterprise delivery models
Strong stakeholder communication and cross-functional leadership skills
Salesforce platform engineering and architecture
Salesforce APIs and integration patterns

Job Responsibility

Lead the engineering delivery organization supporting Salesforce, SAP Commerce Cloud, integrations, and related CX tools and systems
Establish and enforce engineering standards, release governance processes, and technical quality expectations across global delivery teams
Drive engineering execution across large-scale, multi-region initiatives and enterprise transformation programs
Partner with Enterprise Architecture to ensure alignment with enterprise technology standards, security requirements, and architectural patterns
Govern platform scalability, resiliency, maintainability, and operational sustainability
Lead technical design reviews, architecture governance checkpoints, and engineering risk assessments
Provide technical feasibility analysis, engineering estimates, and delivery impact assessments
Define and maintain platform engineering roadmaps focused on modernization, scalability, resiliency, and operational maturity
Drive technical debt reduction strategies and platform health improvement initiatives
Establish engineering best practices across CI/CD, DevOps, release management, environment strategy, observability, and quality engineering

Consultant

As an AI Business Process Consultant, you will serve as a business-oriented advi...

Location

Hong Kong , Hong Kong

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Engineering, Finance, Business, or related field AND 3+ years leadership experience in relevant area of business OR equivalent experience.
3–5 years of work experience in management consulting, business process consulting, or industry-focused roles involving enterprise operations (e.g., sales operations, customer service, finance, supply chain). Experience with CRM/ERP implementations from a business/functional perspective is highly valued.
Exposure to digital transformation, process improvement (e.g., Lean, Six Sigma), or automation initiatives preferred over purely technical backgrounds.
Foundational understanding of Agentic AI concepts (planning, tool/action orchestration, retrieval/grounding, conversation design, safety/guardrails) and how these map to business outcomes.
Awareness of Responsible AI and evaluation basics (privacy/security, groundedness, accuracy) to support trustworthy agent adoption.
Familiarity with Microsoft 365 Copilot and how it supports knowledge work scenarios
able to frame business use cases, adoption considerations, and value measurement.
Familiarity with Copilot Studio and the Power Platform (Power Apps, Power Automate, Dataverse, connectors) at a practical overview level — enough to participate in solution design discussions and collaborate with engineers.
Solid understanding of enterprise business processes in at least one domain: sales & marketing (lead-to-cash), customer service (case management, contact center), finance (procure-to-pay, record-to-report), or supply chain (plan-to-deliver, inventory optimization).
Ability to conduct business discovery, document current-state processes, identify pain points, and articulate improvement opportunities in language that business stakeholders understand.

Job Responsibility

Develop and maintain deep knowledge of industry-specific business processes (e.g., lead-to-cash, case-to-resolution, procure-to-pay, record-to-report, plan-to-produce) across one or more verticals such as manufacturing, retail, financial services, or professional services.
Conduct business discovery workshops with customers to map current-state processes, identify inefficiencies, and uncover high-impact opportunities for AI-driven improvement.
Build industry-contextualized Agentic AI scenarios that speak directly to the business language of customer stakeholders — translating goals into agent workflows, decision logic, and outcome metrics (e.g., reduced cycle time, improved first-contact resolution, faster forecasting, higher service productivity).
Stay current with industry trends, competitive dynamics, and regulatory requirements relevant to target sectors, ensuring AI recommendations are practical and compliant.
Champion a business-outcome-first approach: every AI initiative must tie to measurable KPIs such as revenue growth, cost reduction, customer satisfaction, or operational throughput.
Develop clear ROI models and business cases that articulate AI value in terms executives understand — not technology features, but business impact.
Track and report on post-deployment business metrics to demonstrate realized value and identify further optimization opportunities.
Lead business-focused customer conversations during pre-sales: understand strategic priorities, map pain points to AI use cases, and co-create solution visions with business decision-makers.
Collaborate with sales teams to craft compelling proposals grounded in industry benchmarks, peer success stories, and customer-specific business cases.
Support proof-of-concept (POC) demonstrations with a business narrative that connects technical capabilities to customer outcomes

Fulltime

Data Product Management Principal

Job Title: Data Product Management Principal Employer: PepsiCo, Inc. Location:...

Location

United States , Plano

Salary:

141773.00 - 165000.00 USD / Year

Pepsico

Expiration Date

Until further notice

Requirements

Bachelor’s degree (US or Foreign Equivalent) in Industrial Engineering, Systems Engineering, or Computer Science and three (3) years of experience in data-focused roles within the consumer-packaged goods retail industry OR Master's degree (US or Foreign Equivalent) in Business Administration or Computer Science and one (1) year of experience in data-focused roles within the consumer-packaged goods retail industry
Must have three (3) years of experience (or 1 with master’s) with: Defining and managing data product requirements and roadmap using Agile and SAFe methodologies
proficient in Agile tools such as Azure DevOps, Jira, etc.
and Effective communicator with experience presenting complex data solutions to executive stakeholders
Must have two (2) years of experience (or 1 with master’s) with: Translating business problems into technical requirements
Delivering enterprise-scale data, analytics, and AI solutions in the CPG and retail sectors
Familiar with data platforms and tools such as Azure, Databricks, SAP, Salesforce, etc.
and Leading big data solutions/advanced analytics or product management
Must have one (1) year of experience with: Leading global cross-functional data teams to deliver data and analytics solutions aligned with business needs
SQL, Python, Power BI, and Tableau for data analysis, visualization, and insight generation

Job Responsibility

Define and manage data product roadmaps and requirements using Agile and SAFe methodologies
proficient in tools such as Azure DevOps for backlog management and delivery tracking
Conduct backlog refinement and PI planning sessions with global data teams to prioritize work, align on product objectives, and identify potential risks or dependencies
Create user stories, product roadmaps and technical requirements based on ongoing business needs
Use SQL or Python to extract sample data and analyze the structure of datasets
Review and analyze existing and newly requested products, dashboards and applications (e.g., Power BI, Tableau) to identify opportunities for improvement and ensure they meet the evolving needs of business teams
Collaborate with data engineers to ensure data pipelines and ingestion processes meet business requirements
Work with data stewards to ensure data quality and compliance with company policies
Collaborate with data scientists to support advanced analytics and develop models that drive business insights
Prepare presentations for weekly leadership meetings, summarizing project status and insights

Fulltime

Senior Enterprise Automation Engineer - Logistics Development

The Logistics Development team is responsible for driving speed, efficiency, and...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

Deep, hands-on expertise in developing and architecting workflow automations using enterprise platforms like UiPath Suite and n8n
Practical, demonstrated experience in prompt engineering and safely integrating Large Language Models (LLMs) into live business operations
Solid foundation in basic programming (e.g., Python, JavaScript)
Intelligent Document Processing (IDP): Hands-on experience with OCR and AI tools to extract structured data from unstructured logistics documents (e.g., invoices, customs forms)
Process Discovery: Proficiency in Process Mining (e.g., Celonis) or Task Mining to scientifically identify and prioritize automation opportunities
Resilience & Error Handling: Proven ability to build self-healing workflows and exception-handling frameworks
Strong capability in designing, managing, and troubleshooting APIs to create data bridges across diverse internal systems
Master communicator and stakeholder manager, easily translating complex operational friction from business experts into actionable technical requirements
Passionate about process optimization and thrive in an agile environment focused on iterative and rapid delivery

Job Responsibility

Build intelligent workflows: Design, deploy, and scale robust automations using enterprise orchestration platforms (e.g., UiPath Suite, n8n) to eliminate high-volume manual data entry
Integrate Cognitive AI: Leverage advanced prompt engineering to successfully embed Large Language Models (LLMs) into daily business processes to handle unstructured data
Establish the standard: Define and enforce baseline development guidelines, ensuring our decentralized bots are auditable, secure, and deployable across the European network
Bridge the data gap: Design and manage API connections that seamlessly link legacy enterprise systems (like SAP) with modern AI orchestration tools
Drive supervised autonomy: Develop Human-in-the-Loop (HITL) workflows that safely manage operational edge-cases, ensuring business stakeholders trust and adopt the automated systems
Execute with agility: Collaborate closely with central Tech teams and operational Subject Matter Experts to rapidly discover, build, and push solutions to production within fast-paced sprints

What we offer

27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available

Fulltime

Business Developer – Procurement Excellence & Analytics

Location

Sweden , Boden

Salary:

Not provided

H2 Green Steel

Expiration Date

Until further notice

Requirements

Proven experience in procurement transformation, digitalisation, or process excellence in an industrial environment (manufacturing and/or metals & mining)
Strong understanding of end-to-end Source-to-Pay Process, including production, planning, and maintenance contexts
At least 5 years of experience in procurement excellence, analytics, process development, or similar roles
Solid understanding of data structures, master data, and their business impact
Experience working with ERP and procurement platforms (SAP S/4HANA is a strong advantage)
Strong analytical and structured problem-solving skills, with the ability to navigate complexity in a scale-up environment
Relevant academic background (Engineering, Business, Information Systems, or similar)
Fluent in English
Swedish is an advantage

Job Responsibility

Design and evolve the procurement process excellence across Source-to-Contract (S2C) and Procure-to-Pay (P2P), with a strong focus on end-to-end efficiency and governance
Translate business needs into scalable solutions across processes, data, and digital tools and define the development roadmap
Drive prioritisation and adoption of digital initiatives as well as implementation on ways of working across processes and functions
Enable leadership and category teams with decision-critical insights and analytics to support sourcing strategies, investments, and prioritisation
Identify and implement high-impact initiatives (automation, AI, data models, guided buying) in areas such as spend analytics, demand forecasting, contract management, supplier risk and workflows
Ensure procurement data is structured, reliable, and decision-ready, enabling transparency, compliance, and efficient buying channels
Build digital and analytical capabilities within procurement teams and help establish global process standards and governance that support speed, compliance, and scalability

What we offer

up to 30 days of paid vacation
occupational pension
parental benefits
insurance
relocation and immigration support
subsidized gym memberships
bike leases

Fulltime

Specialist Sales Manager - Cloud & AI Platforms

Microsoft’s mission is to empower every person and every organization on the pla...

Location

United States , Multiple Locations

Salary:

133000.00 - 222700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Business Administration, Information Security, or related field AND 6+ years experience in technology-related sales or account management OR equivalent experience
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship

Job Responsibility

Lead, coach, and develop a team of 10–12 quota‑carrying Cloud & AI Platform sales specialists to deliver customer outcomes and meet or exceed quota across Infrastructure, Data, AI, App Modernization, Developer, and Security
Establish a high‑performance culture focused on accountability, disciplined execution, pipeline rigor, forecasting accuracy, and consistent deal governance tied to quota attainment
Drive coaching and operational cadence (pipeline reviews, deal inspections, forecast calls, business rhythm) to improve conversion, quality, and predictability
Set clear expectations for seller execution, including opportunity ownership, milestone hygiene, and cross-role orchestration required to drive consistent performance
Own and execute an industry-specific Azure strategy across a portfolio of Majors Enterprise High Tech & Process Manufacturing customers, prioritizing the highest-impact opportunities that drive quota attainment
Lead the team to align customer priorities to Microsoft solution plays and translate strategy into actionable pursuits tied to measurable business outcomes
Drive the territory strategy around the highest-impact motions, including: Modernize SAP and adjacent enterprise applications, including migration, modernization, and enterprise integration patterns
Data estate modernization and AI platform adoption, including governance, analytics modernization, and scalable AI enablement
Supply Chain outcomes, including visibility, agility, planning, and risk management scenarios
Product Design / Digital Engineering outcomes, including engineering data platforms, simulation/HPC readiness, and digital thread enablement

Fulltime

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SAP Engineer with AI Adoption Focus

Job Description

Job Responsibility

Requirements

What we offer

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