Business Process Excellence Sr Specialist
About this opportunity
Location: HyderabadThe Business Process Excellence (BPE) Senior Specialist enables AI driven process transformation across global process value streams by identifying opportunities, educating stakeholders, and guiding Global Process Owners (GPOs) and process teams on the effective use of AI, including Generative AI and Agentic AI.This role does not deploy or technically implement AI solutions. Instead, it operates as a business led enablement and advisory role, supporting GPOs and the BPE community to understand where AI can add value, how it fits into the end to end BPE journey, and how to work effectively with DDIT and technology partners through defined governance pathways.The role also contributes to strengthening enterprise standards, governance, and capability building by enabling the BPE AI Community of Practice, supporting AI demonstrations and showcases, and embedding external best practices into internal ways of working.
Major AccountabilitiesAI Enablement for the BPE JourneyIdentify and frame AI‑enabled opportunities across the BPE lifecycle, including process discovery, performance monitoring, root‑cause analysis, decision support, and continuous improvementEducate and support GPOs, process owners, and BPE practitioners on how AI (including GenAI and Agentic AI) can be applied to business process challenges. Help process teams understand when and where AI is appropriate, versus traditional process improvement approachesProcess & Transformation AdvisoryPartner with Global Process Owners (GPOs) and Business Units to shape AI‑enabled improvement themes and roadmaps, aligned to process KPIs and value driversTranslate emerging AI trends (e.g., Generative AI, Agentic AI, Automation + AI) into business‑relevant use cases, examples, and guidance. Support prioritization decisions by articulating value potential, readiness, dependencies, and governance considerationsValue Framing & Business SupportSupport the business framing of AI initiatives, including problem statements, value hypotheses, success criteria, and adoption considerationsEnable GPOs and process teams in preparing initiatives for handover to DDIT and technology teams, ensuring clarity of intent and outcomes. Capture and share value realization insights, adoption learnings, and best practices across the BPE communityProcess–Technology Interface (Enablement Role)Act as a bridge between process teams and DDIT / technology partners, facilitating shared understanding of scope, roles, and success measures. Support alignment on governance checkpoints, engagement models, and responsibilities, while remaining non‑technical and non‑deployingCommunity of Practice & Capability BuildingEnable and strengthen the BPE AI Community of Practice, supporting structured learning, knowledge sharing, and reuse of AI‑in‑process examples. In collaboration with DDIT and technology partners, support AI demonstrations, pilots, and showcases to build awareness and confidence across teamsContribute to the development and reuse of guidance, playbooks, and reference materials for responsible AI adoption within BPEStandards & Thought LeadershipContribute to evolving enterprise standards, governance approaches, and AI‑enabled capability building across a global organization. Continuously scan and bring in external best practices in AI‑enabled process excellence to inform internal guidance and ways of workingMinimum RequirementsBachelor’s degree in Business, Engineering, Data & Analytics, Computer Science, Mathematics/Statistics, Life Sciences, or a related fieldMaster’s degree or MBA preferredStrong understanding of AI concepts and application patterns (including Generative AI and Agentic AI) from a business and process perspectiveSolid grounding in process excellence and continuous improvement methodologiesAbility to educate, coach, and lead AI sessions and meetingsStrong skills in problem framing, value articulation, and prioritizationExcellent stakeholder management and communication skills, including engagement with senior audiencesExperience supporting AI initiatives through use‑case definition, adoption planning, or change enablementDesired skillsHand on experience in creating AI agent and related technologies (e.g., agent orchestration, decision agents, human‑in‑the‑loop models) from a conceptual to buildRelevant AI or data‑related certifications (e.g., Generative AI, AI/ML fundamentals, analytics, digital transformation), demonstrating continuous learningWhy Novartis?Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us!Learn more here:https://www.novartis.com/about/strategy/people-and-cultureCommitment to Diversity and Inclusion:Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:https://talentnetwork.novartis.com/network
Job details
How this role compares
Computed from every other active BD&L & Strategic Planning role in our database, not just this employer's listings.
We currently track 5 comparable Senior BD&L & Strategic Planning roles across 2 biopharma companies.
Salary context
None of this role's 5 tracked peers disclose a salary range yet.
Where these roles are based
Top locations among the 5 comparable roles
Seniority mix
5 of 5 peers have a known seniority level
Therapeutic area mix
1 of 5 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.